Search results for Large Language Models

Found 1069 documents, 5921 searched:

• The Case of Homegrown Large Language Models

  Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.

  https://www.kdnuggets.com/the-case-of-homegrown-large-language-models

• Large Language Models Explained in 3 Levels of Difficulty

  Simple explanations, no matter what your level is right now.

  https://www.kdnuggets.com/large-language-models-explained-in-3-levels-of-difficulty

• Strategies for Optimizing Performance and Costs When Using Large Language Models in the Cloud

  There are many cases where your LLM underperforms and costs you too much in the cloud platform. Simple strategies help you avoid that.

  https://www.kdnuggets.com/strategies-for-optimizing-performance-and-costs-when-using-large-language-models-in-the-cloud

• A Comprehensive List of Resources to Master Large Language Models

  Large Language Models (LLMs) have now become an integral part of various applications. This article provides an extensive list of resources for anyone interested to dive into the world of LLMs.

  https://www.kdnuggets.com/a-comprehensive-list-of-resources-to-master-large-language-models

• How to Make Large Language Models Play Nice with Your Software Using LangChain

  Beyond simply chatting with an AI model and how LangChain elevates LLM interactions with humans.

  https://www.kdnuggets.com/how-to-make-large-language-models-play-nice-with-your-software-using-langchain

• Building Data Pipelines to Create Apps with Large Language Models

  For production grade LLM apps, you need a robust data pipeline. This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages.

  https://www.kdnuggets.com/building-data-pipelines-to-create-apps-with-large-language-models

• Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models

  Thought Propagation is a prompt engineering technique that instructs LLMs to identify and tackle a series of problems that are similar to the original query, and then use the solutions to these similar problems to either directly generate a new answer or formulate a detailed action plan that refines the original solution.

  https://www.kdnuggets.com/thought-propagation-an-analogical-approach-to-complex-reasoning-with-large-language-models

• Graph of Thoughts: A New Paradigm for Elaborate Problem-Solving in Large Language Models

  Discover how Graph of Thoughts aims to revolutionize prompt engineering, and LLMs more broadly, enabling more flexible and human-like problem-solving.

  https://www.kdnuggets.com/graph-of-thoughts-a-new-paradigm-for-elaborate-problem-solving-in-large-language-models

• 7 Steps to Mastering Large Language Models (LLMs)

  Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.

  https://www.kdnuggets.com/7-steps-to-mastering-large-language-models-llms

• Generative AI with Large Language Models: Hands-On Training

  This 2-hour training covers LLMs, their capabilities, and how to develop and deploy them. It uses hands-on code demos in Hugging Face and PyTorch Lightning.

  https://www.kdnuggets.com/2023/07/generative-ai-large-language-models-handson-training.html

• Unraveling the Power of Chain-of-Thought Prompting in Large Language Models

  This article delves into the concept of Chain-of-Thought (CoT) prompting, a technique that enhances the reasoning capabilities of large language models (LLMs). It discusses the principles behind CoT prompting, its application, and its impact on the performance of LLMs.

  https://www.kdnuggets.com/2023/07/power-chain-thought-prompting-large-language-models.html

• More Free Courses on Large Language Models

  Interested in learning about large language models? Get up and running with these free courses from DeepLearning.AI, Google Cloud, Udacity, and more.

  https://www.kdnuggets.com/2023/06/free-courses-large-language-models.html

• What are Large Language Models and How Do They Work?

  Large language models represent a significant advancement in natural language processing and have transformed the way we interact with language-based technology. Learn why they’re important and how they work.

  https://www.kdnuggets.com/2023/05/large-language-models-work.html

• Introducing Healthcare-Specific Large Language Models from John Snow Labs

  John Snow Labs recently released a new LLM called BioGPT-JSL and capabilities tuned specifically to the medical domain. This article summarizes three things you should know about it. 

  https://www.kdnuggets.com/2023/04/john-snow-introducing-healthcare-specific-large-language-models-john-snow-labs.html

• Introducing TPU v4: Googles Cutting Edge Supercomputer for Large Language Models

  TPU v4: Google's fifth domain-specific architecture and third supercomputer for machine learning models.

  https://www.kdnuggets.com/2023/04/introducing-tpu-v4-googles-cutting-edge-supercomputer-large-language-models.html

• Learn About Large Language Models

  An introduction to Large Language Models, what they are, how they work, and use cases.

  https://www.kdnuggets.com/2023/03/learn-large-language-models.html

• Top Free Courses on Large Language Models

  Interested in learning how ChatGPT and other AI chatbots work under the hood? Look no further. Check out these free courses and resources on large language models from Stanford, Princeton, ETH, and more.

  https://www.kdnuggets.com/2023/03/top-free-courses-large-language-models.html

• Top Open Source Large Language Models

  In this article, we will discuss the importance of large language models and suggest some of the top open source models and the NLP tasks they can be used for.

  https://www.kdnuggets.com/2022/09/john-snow-top-open-source-large-language-models.html

• AI: Large Language & Visual Models

  This article discusses the significance of large language and visual models in AI, their capabilities, potential synergies, challenges such as data bias, ethical considerations, and their impact on the market, highlighting their potential for advancing the field of artificial intelligence.

  https://www.kdnuggets.com/2023/06/ai-large-language-visual-models.html

• 7 Steps to Mastering Large Language Model Fine-tuning

  From theory to practice, learn how to enhance your NLP projects with these 7 simple steps.

  https://www.kdnuggets.com/7-steps-to-mastering-large-language-model-fine-tuning

• Data Science and the Go Programming Language

  Northwestern’s School of Professional Studies uses Go in Its Master of Science in Data Science Program.

  https://www.kdnuggets.com/2024/03/nwu-data-science-go-programming-language

• Free Mastery Course: Become a Large Language Model Expert

  It is a self-paced course that covers fundamental and advanced concepts of LLMs and teaches how to deploy them in production.

  https://www.kdnuggets.com/ree-mastery-course-become-a-large-language-model-expert

• Natural Language Processing: Bridging Human Communication with AI

  The post highlights real-world examples of NLP use cases across industries. It also covers NLP's objectives, challenges, and latest research developments.

  https://www.kdnuggets.com/natural-language-processing-bridging-human-communication-with-ai

• Exploring the Zephyr 7B: A Comprehensive Guide to the Latest Large Language Model

  Zephyr is a series of Large Language Models released by Hugging Face trained using distilled supervised fine-tuning (dSFT) on larger models with significantly improved task accuracy.

  https://www.kdnuggets.com/exploring-the-zephyr-7b-a-comprehensive-guide-to-the-latest-large-language-model

• Talk Directly to Your Data Using Everyday Language

  DataGPT is a conversational AI data analytics software provider that delivers analysis at the speed of business questions. DataGPT empowers anyone, in any company, to talk directly to their data using everyday language, revealing expert answers to complex questions instantly.

  https://www.kdnuggets.com/2023/12/datagpt-talk-directly-data-everyday-language

• 7 Steps to Running a Small Language Model on a Local CPU

  Discover how to run a small language model on your local CPU in just seven easy steps.

  https://www.kdnuggets.com/7-steps-to-running-a-small-language-model-on-a-local-cpu

• Introduction to Giskard: Open-Source Quality Management for AI Models

  To solve the conundrum of ensuring the quality of AI models in production — especially given the emergence of LLMs — we are thrilled to announce the official launch of Giskard, the premier open-source AI quality management system.

  https://www.kdnuggets.com/2023/11/giskard-introduction-giskard-opensource-quality-management-ai-models

• Comparing Natural Language Processing Techniques: RNNs, Transformers, BERT

  RNN, Transformers, and BERT are popular NLP techniques with tradeoffs in sequence modeling, parallelization, and pre-training for downstream tasks.

  https://www.kdnuggets.com/comparing-natural-language-processing-techniques-rnns-transformers-bert

• 7 Steps to Mastering Natural Language Processing

  Want to learn all about Natural Language Processing (NLP)? Here is a 7 step guide to help you go from the fundamentals of machine learning and Python to Transformers, recent advances in NLP, and beyond.

  https://www.kdnuggets.com/7-steps-to-mastering-natural-language-processing

• Introduction to Natural Language Processing

  An overview of Natural Language Processing (NLP) and its applications.

  https://www.kdnuggets.com/introduction-to-natural-language-processing

• Effective Small Language Models: Microsoft’s 1.3 Billion Parameter phi-1.5

  Learn about Microsoft’s 1.3 billion parameter model that has outperformed Llama 2’s 7-billion parameters model on several benchmarks.

  https://www.kdnuggets.com/effective-small-language-models-microsoft-phi-15

• 8 Programming Languages For Data Science to Learn in 2023

  Are you interested in Data Science? This blog will help you kickstart or advance your data science career. You'll learn about the most popular programming languages data scientists use to clean, analyze, visualize, and model data.

  https://www.kdnuggets.com/2023/07/8-programming-languages-data-science-learn-2023.html

• 5 Highest-paid Languages to Learn This Year

  Level up your coding skills by learning the hottest programming languages to boost your career and fatten your paycheck!.

  https://www.kdnuggets.com/2023/07/5-highestpaid-languages-learn-year.html

• 5 Free Books on Natural Language Processing to Read in 2023

  Large language models are getting released left right and center, and if you want to understand them better you need to know about NLP. Here are 5 Free books to help you.

  https://www.kdnuggets.com/2023/06/5-free-books-natural-language-processing-read-2023.html

• KDnuggets News, June 7: ChatGPT for Data Science Interview Cheatsheets • Programming Languages for Specific Data Roles

  ChatGPT for Data Science Interview Cheatsheets • Programming Languages for Specific Data Roles • 10 Jupyter Notebook Tips and Tricks for Data Scientists • Revolutionizing Data Analysis with PandasGUI • OpenAI’s Whisper API for Transcription and Translation

  https://www.kdnuggets.com/2023/n21.html

• Programming Languages for Specific Data Roles

  What programming language do you need for a specific data role?

  https://www.kdnuggets.com/2023/06/programming-languages-specific-data-roles.html

• A Deep Dive into GPT Models: Evolution & Performance Comparison

  The blog focuses on GPT models, providing an in-depth understanding and analysis. It explains the three main components of GPT models: generative, pre-trained, and transformers.

  https://www.kdnuggets.com/2023/05/deep-dive-gpt-models.html

• What Are Foundation Models and How Do They Work?

  Foundation models represent a significant advancement in AI, enabling versatile and high-performing models that can be applied across various domains, such as NLP, computer vision, and multimodal tasks.

  https://www.kdnuggets.com/2023/05/foundation-models-work.html

• KDnuggets News, May 17: Mojo Lang: The New Programming Language • Pandas AI: The Generative AI Python Library

  Mojo Lang: The New Programming Language • Pandas AI: The Generative AI Python Library • Data Scientist’s Guide to Cognitive Biases: A Free eBook • 8 Free AI and LLMs Playgrounds • Practical Statistics for Data Scientists

  https://www.kdnuggets.com/2023/n18.html

• The Ultimate Open-Source Large Language Model Ecosystem

  GPT4ALL is a project that provides everything you need to work with state-of-the-art open-source large language models.

  https://www.kdnuggets.com/2023/05/ultimate-opensource-large-language-model-ecosystem.html

• Fine-Tuning OpenAI Language Models with Noisily Labeled Data

  Reduce LLM prediction error by 37% via data-centric AI.

  https://www.kdnuggets.com/2023/04/finetuning-openai-language-models-noisily-labeled-data.html

• MiniGPT-4: A Lightweight Alternative to GPT-4 for Enhanced Vision-language Understanding

  MiniGPT-4 possesses many capabilities of GPT-4 like generating image descriptions, creating a website with a hand-written draft, and writing a poem based on an image.

  https://www.kdnuggets.com/2023/04/minigpt4-lightweight-alternative-gpt4-enhanced-visionlanguage-understanding.html

• A Guide to Top Natural Language Processing Libraries

  Natural Language Processing is one of the hottest areas of research. While NLP tasks may seem a bit complicated at first, they can be made easier by using the right tools. This article covers a list of the top 6 NLP Libraries that can save you time and effort.

  https://www.kdnuggets.com/2023/04/guide-top-natural-language-processing-libraries.html

• Introducing the Testing Library for Natural Language Processing

  Deliver reliable, safe and effective NLP models.

  https://www.kdnuggets.com/2023/04/introducing-testing-library-natural-language-processing.html

• Multimodal Models Explained

  Unlocking the Power of Multimodal Learning: Techniques, Challenges, and Applications.

  https://www.kdnuggets.com/2023/03/multimodal-models-explained.html

• Multimodal Grounded Learning with Vision and Language

  How to enable AI models to have similar capabilities: to communicate, to ground, and to learn from language.

  https://www.kdnuggets.com/2022/11/multimodal-grounded-learning-vision-language.html

• How to Package and Distribute Machine Learning Models with MLFlow

  MLFlow is a tool to manage the end-to-end lifecycle of a Machine Learning model. Likewise, the installation and configuration of an MLFlow service is addressed and examples are added on how to generate and share projects with MLFlow.

  https://www.kdnuggets.com/2022/08/package-distribute-machine-learning-models-mlflow.html

• Best Practices for Creating Domain-Specific AI Models

  Here are some best practices and techniques for domain-specific model adaptation that worked for us time and again.

  https://www.kdnuggets.com/2022/07/best-practices-creating-domainspecific-ai-models.html

• N-gram Language Modeling in Natural Language Processing

  N-gram is a sequence of n words in the modeling of NLP. How can this technique be useful in language modeling?

  https://www.kdnuggets.com/2022/06/ngram-language-modeling-natural-language-processing.html

• oBERT: Compound Sparsification Delivers Faster Accurate Models for NLP

  Discover "compound sparsification" and how to apply it to BERT models for 10x compression and GPU-level latency on commodity CPUs.

  https://www.kdnuggets.com/2022/05/obert-compound-sparsification-delivers-faster-accurate-models-nlp.html

• Data Science Programming Languages and When To Use Them

  Read this guide through the most common data science programming languages and when to use them in data science.

  https://www.kdnuggets.com/2022/02/data-science-programming-languages.html

• Anecdotes from 11 Role Models in Machine Learning

  The skills needed to create good data are also the skills needed for good leadership.

  https://www.kdnuggets.com/2021/11/anecdotes-11-role-models-machine-learning.html

• GitHub Copilot and the Rise of AI Language Models in Programming Automation

  Read on to learn more about what makes Copilot different from previous autocomplete tools (including TabNine), and why this particular tool has been generating so much controversy.

  https://www.kdnuggets.com/2021/09/github-copilot-rise-ai-language-models-programming-automation.html

• Five Key Facts About Wu Dao 2.0: The Largest Transformer Model Ever Built

  The record-setting model combines some clever research and engineering methods.

  https://www.kdnuggets.com/2021/09/five-key-facts-wu-dao-largest-transformer-model.html

• Jurassic-1 Language Models and AI21 Studio

  AI21 Labs’ new developer platform offers instant access to our 178B-parameter language model, to help you build sophisticated text-based AI applications at scale.

  https://www.kdnuggets.com/2021/08/ai21-jurassic1-language-models.html

• Linear Algebra for Natural Language Processing

  Learn about representing word semantics in vector space.

  https://www.kdnuggets.com/2021/08/linear-algebra-natural-language-processing.html

• How to Create Unbiased Machine Learning Models

  In this post we discuss the concepts of bias and fairness in the Machine Learning world, and show how ML biases often reflect existing biases in society. Additionally, We discuss various methods for testing and enforcing fairness in ML models.

  https://www.kdnuggets.com/2021/07/create-unbiased-machine-learning-models.html

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 4

  With the right software, hardware, and techniques at your fingertips, your capability to effectively develop high-performing models now hinges on leveraging automation to expedite the experimental process and building with the most efficient model architectures for your data.

  https://www.kdnuggets.com/2021/07/high-performance-deep-learning-part4.html

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 3

  Now that you are ready to efficiently build advanced deep learning models with the right software and hardware tools, the techniques involved in implementing such efforts must be explored to improve model quality and obtain the performance that your organization desires.

  https://www.kdnuggets.com/2021/07/high-performance-deep-learning-part3.html

• Learn Neural Networks for Natural Language Processing Now

  Still haven't come across enough quality contemporary natural language processing resources? Here is yet another freely-accessible offering from a top-notch university that might help quench your thirst for learning materials.

  https://www.kdnuggets.com/2021/04/learn-neural-networks-natural-language-processing-now.html

• 3 More Free Top Notch Natural Language Processing Courses

  Are you looking to continue your learning of natural language processing? This small collection of 3 free top notch courses will allow you to do just that.

  https://www.kdnuggets.com/2021/03/3-more-free-nlp-courses.html

• Reducing the High Cost of Training NLP Models With SRU++

  The increasing computation time and costs of training natural language models (NLP) highlight the importance of inventing computationally efficient models that retain top modeling power with reduced or accelerated computation. A single experiment training a top-performing language model on the 'Billion Word' benchmark would take 384 GPU days and as much as $36,000 using AWS on-demand instances.

  https://www.kdnuggets.com/2021/03/reducing-high-cost-training-nlp-models-sru.html

• Getting Started with 5 Essential Natural Language Processing Libraries">Getting Started with 5 Essential Natural Language Processing Libraries

  This article is an overview of how to get started with 5 popular Python NLP libraries, from those for linguistic data visualization, to data preprocessing, to multi-task functionality, to state of the art language modeling, and beyond.

  https://www.kdnuggets.com/2021/02/getting-started-5-essential-nlp-libraries.html

• Saving and loading models in TensorFlow — why it is important and how to do it

  So much time and effort can go into training your machine learning models. But, shut down the notebook or system, and all those trained weights and more vanish with the memory flush. Saving your models to maximize reusability is key for efficient productivity.

  https://www.kdnuggets.com/2021/02/saving-loading-models-tensorflow.html

• Vision Transformers: Natural Language Processing (NLP) Increases Efficiency and Model Generality

  Why do we hear so little about transformer models applied to computer vision tasks? What about attention in computer vision networks?

  https://www.kdnuggets.com/2021/02/vision-transformers-nlp-efficiency-model-generality.html

• Simple Python Package for Comparing, Plotting & Evaluating Regression Models

  This package is aimed to help users plot the evaluation metric graph with single line code for different widely used regression model metrics comparing them at a glance. With this utility package, it also significantly lowers the barrier for the practitioners to evaluate the different machine learning algorithms in an amateur fashion by applying it to their everyday predictive regression problems.

  https://www.kdnuggets.com/2020/11/simple-python-package-comparing-plotting-evaluating-regression-models.html

• Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision">Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision

  This article compiles the 30 top Python libraries for deep learning, natural language processing & computer vision, as best determined by KDnuggets staff.

  https://www.kdnuggets.com/2020/11/top-python-libraries-deep-learning-natural-language-processing-computer-vision.html

• Roadmap to Natural Language Processing (NLP)">Roadmap to Natural Language Processing (NLP)

  Check out this introduction to some of the most common techniques and models used in Natural Language Processing (NLP).

  https://www.kdnuggets.com/2020/10/roadmap-natural-language-processing-nlp.html

• A Deep Dive Into the Transformer Architecture – The Development of Transformer Models

  Even though transformers for NLP were introduced only a few years ago, they have delivered major impacts to a variety of fields from reinforcement learning to chemistry. Now is the time to better understand the inner workings of transformer architectures to give you the intuition you need to effectively work with these powerful tools.

  https://www.kdnuggets.com/2020/08/transformer-architecture-development-transformer-models.html

• Exploring GPT-3: A New Breakthrough in Language Generation

  GPT-3 is the largest natural language processing (NLP) transformer released to date, eclipsing the previous record, Microsoft Research’s Turing-NLG at 17B parameters, by about 10 times. This has resulted in an explosion of demos: some good, some bad, all interesting.

  https://www.kdnuggets.com/2020/08/exploring-gpt-3-breakthrough-language-generation.html

• Stop training more models, start deploying them

  We are hardly living up to the promises of AI in healthcare. It’s not because of our training, it’s because of our deployment.

  https://www.kdnuggets.com/2020/06/stop-training-models-start-deploying.html

• The Unreasonable Progress of Deep Neural Networks in Natural Language Processing (NLP)

  Natural language processing has made incredible advances through advanced techniques in deep learning. Learn about these powerful models, and find how close (or far away) these approaches are to human-level understanding.

  https://www.kdnuggets.com/2020/06/unreasonable-progress-deep-neural-networks-nlp.html

• Google Unveils TAPAS, a BERT-Based Neural Network for Querying Tables Using Natural Language

  The new neural network extends BERT to interact with tabular datasets.

  https://www.kdnuggets.com/2020/05/google-tapas-bert-neural-network-querying-natural-language.html

• Microsoft Research Unveils Three Efforts to Advance Deep Generative Models

  Optimus, FQ-GAN and Prevalent bring new ideas to apply generative models at large scale.

  https://www.kdnuggets.com/2020/05/microsoft-research-three-efforts-advance-deep-generative-models.html

• Microsoft Open Sources ZeRO and DeepSpeed: The Technologies Behind the Biggest Language Model in History

  The two efforts enable the training of deep learning models at massive scale.

  https://www.kdnuggets.com/2020/02/microsoft-open-sources-zero-deepspeed-language-model.html

• A Comprehensive Guide to Natural Language Generation

  Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.

  https://www.kdnuggets.com/2020/01/guide-natural-language-generation.html

• Introduction to Natural Language Processing (NLP)

  Have you ever wondered how your personal assistant (e.g: Siri) is built? Do you want to build your own? Perfect! Let’s talk about Natural Language Processing.

  https://www.kdnuggets.com/2019/10/introduction-natural-language-processing.html

• Natural Language in Python using spaCy: An Introduction

  This article provides a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.

  https://www.kdnuggets.com/2019/09/natural-language-python-using-spacy-introduction.html

• Decentralized and Collaborative AI: How Microsoft Research is Using Blockchains to Build More Transparent Machine Learning Models

  Recently, AI researchers from Microsoft open sourced the Decentralized & Collaborative AI on Blockchain project that enables the implementation of decentralized machine learning models based on blockchain technologies.

  https://www.kdnuggets.com/2019/07/decentralized-collaborative-ai-microsoft-research-blockchains-transparent-machine-learning.html

• Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference">Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference

  Researchers from MIT recently unveiled a new probabilistic programming language named Gen, a language which allow researchers to write models and algorithms from multiple fields where AI techniques are applied without having to deal with equations or manually write high-performance code.

  https://www.kdnuggets.com/2019/07/introducing-gen-language-progammable-inference.html

• Overview of Different Approaches to Deploying Machine Learning Models in Production

  Learn the different methods for putting machine learning models into production, and to determine which method is best for which use case.

  https://www.kdnuggets.com/2019/06/approaches-deploying-machine-learning-production.html

• Customer Churn Prediction Using Machine Learning: Main Approaches and Models

  We reach out to experts from HubSpot and ScienceSoft to discuss how SaaS companies handle the problem of customer churn prediction using Machine Learning.

  https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html

• Comparing MobileNet Models in TensorFlow

  MobileNets are a family of mobile-first computer vision models for TensorFlow, designed to effectively maximize accuracy while being mindful of the restricted resources for an on-device or embedded application.

  https://www.kdnuggets.com/2019/03/comparing-mobilenet-models-tensorflow.html

• ELMo: Contextual Language Embedding

  Create a semantic search engine using deep contextualised language representations from ELMo and why context is everything in NLP.

  https://www.kdnuggets.com/2019/01/elmo-contextual-language-embedding.html

• Comparing Machine Learning Models: Statistical vs. Practical Significance

  Is model A or B more accurate? Hmm… In this blog post, I’d love to share my recent findings on model comparison.

  https://www.kdnuggets.com/2019/01/comparing-machine-learning-models-statistical-vs-practical-significance.html

• NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing">NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing

  Trying to keep up with advancements at the overlap of neural networks and natural language processing can be troublesome. That's where the today's spotlighted resource comes in.

  https://www.kdnuggets.com/2019/01/nlp-overview-modern-deep-learning-techniques.html

• Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools">Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools

  We cover a variety of topics, from machine learning to deep learning, from data visualization to data tools, with comments and explanations from experts in the relevant fields.

  https://www.kdnuggets.com/2018/12/machine-learning-data-visualization-deep-learning-tools.html

• The Main Approaches to Natural Language Processing Tasks">The Main Approaches to Natural Language Processing Tasks

  Let's have a look at the main approaches to NLP tasks that we have at our disposal. We will then have a look at the concrete NLP tasks we can tackle with said approaches.

  https://www.kdnuggets.com/2018/10/main-approaches-natural-language-processing-tasks.html

• Free resources to learn Natural Language Processing

  An extensive list of free resources to help you learn Natural Language Processing, including explanations on Text Classification, Sequence Labeling, Machine Translation and more.

  https://www.kdnuggets.com/2018/09/free-resources-natural-language-processing.html

• Word Vectors in Natural Language Processing: Global Vectors (GloVe)

  A well-known model that learns vectors or words from their co-occurrence information is GlobalVectors (GloVe). While word2vec is a predictive model — a feed-forward neural network that learns vectors to improve the predictive ability, GloVe is a count-based model.

  https://www.kdnuggets.com/2018/08/word-vectors-nlp-glove.html

• Overview and benchmark of traditional and deep learning models in text classification

  In this post, traditional and deep learning models in text classification will be thoroughly investigated, including a discussion into both Recurrent and Convolutional neural networks.

  https://www.kdnuggets.com/2018/07/overview-benchmark-deep-learning-models-text-classification.html

• How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning

  An end-to-end example of how to build a system that can search objects semantically.

  https://www.kdnuggets.com/2018/06/natural-language-semantic-search-arbitrary-objects-deep-learning.html

• On the contribution of neural networks and word embeddings in Natural Language Processing

  In this post I will try to explain, in a very simplified way, how to apply neural networks and integrate word embeddings in text-based applications, and some of the main implicit benefits of using neural networks and word embeddings in NLP.

  https://www.kdnuggets.com/2018/05/contribution-neural-networks-word-embeddings-natural-language-processing.html

• Why Deep Learning is perfect for NLP (Natural Language Processing)">Why Deep Learning is perfect for NLP (Natural Language Processing)

  Deep learning brings multiple benefits in learning multiple levels of representation of natural language. Here we will cover the motivation of using deep learning and distributed representation for NLP, word embeddings and several methods to perform word embeddings, and applications.

  https://www.kdnuggets.com/2018/04/why-deep-learning-perfect-nlp-natural-language-processing.html

• Semantic Segmentation Models for Autonomous Vehicles

  State-of-the-art Semantic Segmentation models need to be tuned for efficient memory consumption and fps output to be used in time-sensitive domains like autonomous vehicles.

  https://www.kdnuggets.com/2018/03/semantic-segmentation-models-autonomous-vehicles.html

• 5 Fantastic Practical Natural Language Processing Resources

  This post presents 5 practical resources for getting a start in natural language processing, covering a wide array of topics and approaches.

  https://www.kdnuggets.com/2018/02/5-fantastic-practical-natural-language-processing-resources.html

• Natural Language Processing Library for Apache Spark – free to use

  Introducing the Natural Language Processing Library for Apache Spark - and yes, you can actually use it for free! This post will give you a great overview of John Snow Labs NLP Library for Apache Spark.

  https://www.kdnuggets.com/2017/11/natural-language-processing-library-apache-spark.html

• 7 Types of Artificial Neural Networks for Natural Language Processing">7 Types of Artificial Neural Networks for Natural Language Processing

  What is an artificial neural network? How does it work? What types of artificial neural networks exist? How are different types of artificial neural networks used in natural language processing? We will discuss all these questions in the following article.

  https://www.kdnuggets.com/2017/10/7-types-artificial-neural-networks-natural-language-processing.html

• Models: From the Lab to the Factory

  In this post, we’ll go over techniques to avoid these scenarios through the process of model management and deployment.

  https://www.kdnuggets.com/2017/04/models-from-lab-factory.html

• Deep Learning Research Review: Natural Language Processing">Deep Learning Research Review: Natural Language Processing

  This edition of Deep Learning Research Review explains recent research papers in Natural Language Processing (NLP). If you don't have the time to read the top papers yourself, or need an overview of NLP with Deep Learning, this post is for you.

  https://www.kdnuggets.com/2017/01/deep-learning-review-natural-language-processing.html

• 5 Ways To Use LLMs On Your Laptop

  Run large language models on your local PC for customized AI capabilities with more control, privacy, and personalization.

  https://www.kdnuggets.com/5-ways-to-use-llms-on-your-laptop

• Getting Started With Claude 3 Opus That Just Destroyed GPT-4 and Gemini

  Anthropic has released a new series of large language models and an updated Python API to access them.

  https://www.kdnuggets.com/getting-started-with-claude-3-opus-that-just-destroyed-gpt-4-and-gemini

• Unlock the Secrets of LLMs in 60-Minute with Andrej Karpathy

  Karpathy's talk provides a comprehensive yet accessible introduction to large language models, explaining their capabilities, future potential, and associated security risks in an engaging manner.

  https://www.kdnuggets.com/unlock-the-secrets-of-llms-in-a-60-minute-with-andrej-karpathy

• 3 Research-Driven Advanced Prompting Techniques for LLM Efficiency and Speed Optimization

  This article has explored three promising prompting techniques that have been developed to reduce the occurrence of hallucinations in large language models.

  https://www.kdnuggets.com/3-research-driven-advanced-prompting-techniques-for-llm-efficiency-and-speed-optimization

• KDnuggets News, October 27: 5 Free Books to Master Data Science • 7 Steps to Mastering LLMs

  This week on KDnuggets: Go from learning what large language models are to building and deploying LLM apps in 7 steps • Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning • And much, much more!

  https://www.kdnuggets.com/2023/n38.html

• Overview of PEFT: State-of-the-art Parameter-Efficient Fine-Tuning

  Learn how Parameter-Efficient Fine-Tuning techniques like LoRA enable efficient adaptation of large language models using limited compute resources.

  https://www.kdnuggets.com/overview-of-peft-stateoftheart-parameterefficient-finetuning

• ChatGPT vs. BARD

  Large language models (LLMs) are transforming the way we process and produce information. But, before considering either one of these models as a one-stop-solution, one must consider their key differences.

  https://www.kdnuggets.com/chatgpt-vs-bard

• Unlocking Reliable Generations through Chain-of-Verification: A Leap in Prompt Engineering

  Explore the Chain-of-Verification prompt engineering method, an important step towards reducing hallucinations in large language models, ensuring reliable and factual AI responses.

  https://www.kdnuggets.com/unlocking-reliable-generations-through-chain-of-verification

• The Quest for Model Confidence: Can You Trust a Black Box?

  This article explores strategies for evaluating the reliability of labels generated by Large Language Models (LLMs). It discusses the effectiveness of different approaches and offers practical insights for various applications.

  https://www.kdnuggets.com/the-quest-for-model-confidence-can-you-trust-a-black-box

• 5 Amazing & Free LLMs Playgrounds You Need to Try in 2023

  Explore the top 5 user-friendly platforms that provide free access to large language models, enabling you to experience the latest AI models firsthand.

  https://www.kdnuggets.com/5-amazing-free-llms-playgrounds-you-need-to-try-in-2023

• An Excellent Resource To Learn The Foundations Of Everything Underneath ChatGPT

  In this article, you will learn the fundamentals of what constitutes the core of ChatGPT (and the Large Language Models).

  https://www.kdnuggets.com/023/08/excellent-resource-learn-foundations-everything-underneath-chatgpt.html

• LangChain Cheat Sheet

  LangChain simplifies building AI assistants with large language models, providing an intuitive API, memory capabilities, access to external tools, the ability to chain LLM actions, and prompt templating. Check out our newest cheat sheet to get up and running now.

  https://www.kdnuggets.com/2023/08/langchain-cheat-sheet.html

• Pythia: A Suite of 16 LLMs for In-Depth Research

  Pythia is a suite of 16 large language models by Eleuther AI. It helps understand and analyze autoregressive large language models during training and scaling.

  https://www.kdnuggets.com/2023/08/pythia-suite-16-llms-indepth-research.html

• Introducing OpenLLM: Open Source Library for LLMs

  A user-friendly platform for operating large language models (LLMs) in production, with features such as fine-tuning, serving, deployment, and monitoring of any LLMs.

  https://www.kdnuggets.com/2023/07/introducing-openllm-open-source-library-llms.html

• KDnuggets News, July 26: Free Generative AI Training from Google • Data Engineering Beginner’s Guide • GPT-Engineer: Your New AI Coding Assistant

  Free Generative AI Training from Google • Data Engineering Beginner’s Guide • GPT-Engineer: Your New AI Coding Assistant • GPT-4 Details Have Been Leaked! • Generative AI with Large Language Models: Hands-On Training

  https://www.kdnuggets.com/2023/n27.html

• Neural Networks and Deep Learning: A Textbook (2nd Edition)

  The second edition of the book Neural Networks and Deep Learning is now available. This book covers both classical and modern models in deep learning. The book is intended to be a textbook for universities, and it covers the theoretical and algorithmic aspects of deep learning. The second edition is significantly expanded and covers many modern topics such as graph neural networks, adversarial learning, attention mechanisms, transformers, and large language models.

  https://www.kdnuggets.com/2023/07/aggarwal-neural-networks-deep-learning-textbook-2nd-edition.html

• Exploring Tree of Thought Prompting: How AI Can Learn to Reason Through Search

  New approach represents problem-solving as search over reasoning steps for large language models, allowing strategic exploration and planning beyond left-to-right decoding. This improves performance on challenges like math puzzles and creative writing, and enhances interpretability and applicability of LLMs.

  https://www.kdnuggets.com/2023/07/exploring-tree-of-thought-prompting-ai-learn-reason-through-search.html

• From Unstructured to Structured Data with LLMs

  Learn how to use large language models to extract insights from documents for analytics and ML at scale. Join this webinar and live tutorial to learn how to get started.

  https://www.kdnuggets.com/2023/06/predibase-unstructured-structured-data-llms.html

• What are Vector Databases and Why Are They Important for LLMs?

  Large language models (LLMs) currently have the AI world in a chokehold. It is essential to understand why vector databases are important to LLMs.

  https://www.kdnuggets.com/2023/06/vector-databases-important-llms.html

• RedPajama Project: An Open-Source Initiative to Democratizing LLMs

  Leading project to Empower the Community through Accessible Large Language Models.

  https://www.kdnuggets.com/2023/06/redpajama-project-opensource-initiative-democratizing-llms.html

• Chatbot Arena: The LLM Benchmark Platform

  Chatbot Arena is a benchmark platform for large language models, where the community can contribute new models and evaluate them.

  https://www.kdnuggets.com/2023/05/chatbot-arena-llm-benchmark-platform.html

• Explore LLMs Easily on Your Laptop with openplayground

  Use simple UI to experiment with various renowned large language models.

  https://www.kdnuggets.com/2023/04/explore-llms-easily-laptop-openplayground.html

• How Watermarking Can Help Mitigate The Potential Risks Of LLMs?

  Adding embedding signals into generated text can help mitigate potential risks of plagiarism, misinformation, and abuse in large language models.

  https://www.kdnuggets.com/2023/03/watermarking-help-mitigate-potential-risks-llms.html

• Must Read NLP Papers from the Last 12 Months

  The era of large language models is here now.

  https://www.kdnuggets.com/2023/03/must-read-nlp-papers-last-12-months.html

• Vector Databases in AI and LLM Use Cases

  Learn about Vectors and How Storing Data Can Be Used in LLM Applications.

  https://www.kdnuggets.com/vector-databases-in-ai-and-llm-use-cases

• 7 Steps to Mastering MLOPs

  Join us on a journey of becoming a professional MLOps engineer by mastering essential tools, frameworks, key concepts, and processes in the field.

  https://www.kdnuggets.com/7-steps-to-mastering-mlops

• Dot com to Dot AI: The New Tech Bubble?

  Welcome to the world of investments!

  https://www.kdnuggets.com/dot-com-to-dot-ai-new-tech-bubble

• The Ultimate Roadmap to Becoming Specialised in The Tech Industry

  There is more than one route that you can take to be a competitive tech professional.

  https://www.kdnuggets.com/the-ultimate-roadmap-to-becoming-specialised-in-the-tech-industry

• Exploring the OpenAI API with Python

  Let’s learn all the useful services from the OpenAI.

  https://www.kdnuggets.com/exploring-the-openai-api-with-python

• The Only Interview Prep Course You Need for Deep Learning

  Dive into the 50 most popular deep-learning questions to get you ready for your interview.

  https://www.kdnuggets.com/the-only-interview-prep-course-you-need-for-deep-learning