Want to know why Gerard is so responsive?
In this video, we explore advanced reasoning techniques for Large Language Models (LLMs), including Chain of Thought (COT), Step by Step Rationalization (STaR), and Tree of Thought (TOT).
These methodologies allow#AImodels to significantly improve the quality and accuracy of responses by optimizing the reasoning process, and have now been natively integrated into#ChatGPTo1.
Watch the video:
00:00 Advanced Reasoning Techniques for LLM: COT, STaR and TOT
00:48 Practical Example: Energy Efficiency of a Commercial Building
01:15 Integration of Techniques in ChatGPT and Other Models
02:02 How Gerrard Works: Intelligence and Rationalization
03:05 Gerrard's Reasoning Processes: Chain of Thought
04:00 Algorithms to Simulate Human Thought
06:03 Comparison of Responses: With and Without Reasoning Framework
08:59 Application in the Development of New Projects and in the Book