​ThinkGPT: Agent and Chain of Thought techniques for LLMs

Published on ● Video Link: https://www.youtube.com/watch?v=hhX8b_jVvQI



Duration: 25:31
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ThinkGPT is a Python library designed to empower Large Language Models (LLMs) with advanced thinking and reasoning capabilities and to allow developers to create agents with LLMs. This talk will provide an overview of ThinkGPT's key features and how it addresses challenges such as limited context, one-shot reasoning, and decision-making. The library offers thinking building blocks like memory, self-refinement, knowledge compression, and natural language conditions. We will explore examples demonstrating ThinkGPT's applications, including teaching new languages to LLMs and enabling them to understand and generate code using new libraries. Additionally, we'll discuss the concept of generative agents and how they can be implemented with ThinkGPT. Join this talk to unlock the potential of ThinkGPT and leverage thinking abilities in your language models.







Tags:
deep learning
machine learning