Matthew Mayo

KDnuggets Managing Editor

Matthew Mayo (@mattmayo13) holds a Master's degree in computer science and a graduate diploma in data mining. As Managing Editor, Matthew aims to make complex data science concepts accessible. His professional interests include natural language processing, machine learning algorithms, and exploring emerging AI. He is driven by a mission to democratize knowledge in the data science community. Matthew has been coding since he was 6 years old.

Introducing MetaGPT’s Data Interpreter: SOTA Open Source LLM-based Data Solutions

By Matthew Mayo, KDnuggets Managing Editor on March 21, 2024 in Artificial Intelligence
MetaGPT's newest agent addition makes running data interpretation and analysis tasks a breeze. Find out more and give it a try for yourself.
Prompt Engineering 101: Mastering Effective LLM Communication

By Matthew Mayo, KDnuggets Managing Editor on January 2, 2024 in Language Models
This article serves as an introduction to those looking to understanding what prompt engineering is, and to learn more about some of the most important techniques currently used in the discipline.
The KDnuggets 2023 Cheat Sheet Collection

By Matthew Mayo, KDnuggets Managing Editor on December 25, 2023 in Data Science
KDnuggets has brought together all of its in-house cheat sheets from 2023 in this single, convenient location. Have a look to make sure you didn't miss out on anything over the year.
Enhancing LLM Reasoning: Unveiling Chain of Code Prompting

By Matthew Mayo, KDnuggets Managing Editor on December 15, 2023 in Language Models
Chain of Code is an approach to interacting with language models, enhancing reasoning abilities through a blend of writing, executing, and simulating code execution, extending the capabilities of language models in logic, arithmetic, and linguistic tasks, especially those requiring a combination of these.
Generative AI Key Terms Explained

By Matthew Mayo, KDnuggets Managing Editor on December 4, 2023 in Artificial Intelligence
This article introduces and explains key terms important to generative AI, and links to additional resources to learn more.
5 Free Courses to Master Generative AI

By Matthew Mayo, KDnuggets Managing Editor on November 20, 2023 in Artificial Intelligence
Generative AI is an exciting and fast-moving area of research and application. Check out these 5 courses to get up to speed and stay ahead of the curve.
Make Your Own GPTs with ChatGPT’s GPTs!

By Matthew Mayo, KDnuggets Managing Editor on November 15, 2023 in Language Models
Want to out-GPT ChatGPT with your own GPT? Then let's GPT the GPTs!
Novice to Ninja: Why Your Python Skills Matter in Data Science

By Matthew Mayo, KDnuggets Managing Editor on October 31, 2023 in Python
As a data scientist, is it worthwhile leveling up your Python skills? Dive into code comparisons across expertise levels & discover if "good enough" is really enough.
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models

By Matthew Mayo, KDnuggets Managing Editor on October 30, 2023 in 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.
Graph of Thoughts: A New Paradigm for Elaborate Problem-Solving in Large Language Models

By Matthew Mayo, KDnuggets Managing Editor on October 23, 2023 in Language Models
Discover how Graph of Thoughts aims to revolutionize prompt engineering, and LLMs more broadly, enabling more flexible and human-like problem-solving.

More...12 3 4 >>>

Matthew Mayo

Latest Posts

Top Posts