Can Language Models Make Their Own Tools?, by Cameron R. Wolfe, Ph.D.
Can Language Models Make Their Own Tools?, by Cameron R. Wolfe, Ph.D.
Teaching Language Models to use Tools
Cameron R. Wolfe, Ph.D. on X: Although large language models (LLMs) are incredibly capable, they are pretty simple to understand. In fact, the core components of most LLMs can be distilled into
Deep (Learning) Focus, Cameron R. Wolfe, Ph.D.
How RLAIF paper uses generic LLMs for RLHF, Cameron R. Wolfe, Ph.D. posted on the topic
Cameron R. Wolfe, Ph.D. (@cwolferesearch) / X
Cameron R. Wolfe, Ph.D. on LinkedIn: Language models can solve a variety of complex tasks accurately, but they…
Cameron R. Wolfe, Ph.D. on X: We've seen a massive amount of progress in AI/LLM research over the last several weeks. Here are the five highest-impact papers/projects that I've been focusing on
Advanced Prompt Engineering - by Cameron R. Wolfe, Ph.D.
Cameron R. Wolfe, Ph.D. – Medium
Cameron R. Wolfe, Ph.D. on LinkedIn: AI Fundamentals: Prompt Chains Powerful LLMs like GPT-4 can follow…
Guidelines for Prompting Large Language Models, by Pankaj Pandey, Dec, 2023
Massine Djafer on LinkedIn: Can Language Models Make Their Own Tools?
Cameron R. Wolfe, Ph.D. on LinkedIn: Tree of thoughts (ToT) prompting solves complex problems with language…