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Building a RCI Chain for Agents with LangChain Expression Language

Sam Witteveen via YouTube

Overview

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This course aims to teach learners how to build a Recursive Criticism and Improvement (RCI) chain using the LangChain Expression Language (LCEL). The course covers topics such as utilizing language models to solve computer tasks, creating language agents with verbal reinforcement learning, implementing RCI for feedback and enhancement, working with multiple chains, and integrating RCI with LCEL. The teaching method includes theoretical explanations, practical coding sessions, and visual aids. This course is intended for individuals interested in advanced language processing, artificial intelligence, and developing language-based agent systems.

Syllabus

Intro
Paper: Language Models Can Solve Computer Task
Paper: Reflexion: Language Agents with Verbal Reinforcement Learning
RCI Recursive Criticism and Improvements
Three Prompts
Three Prompts Diagram
Code Time
Multi Chains
RCI with LCEL
Combined Chain

Taught by

Sam Witteveen

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