shamspias/lcel-tutorial
The "lcel-tutorial" repo is designed for mastering LangChain Expression Language (LCEL), offering exercises to build stateful, multi-actor LLM applications. It's a hands-on guide to leveraging LCEL for complex workflows and agent-like behaviors. Perfect for enthusiasts eager to explore LLM's potential.
This tutorial helps developers build sophisticated applications that use large language models (LLMs) to perform multiple steps or interact with other systems. It takes a developer's understanding of LLMs and provides structured exercises and theoretical explanations to produce robust, multi-stage LLM applications. This is for Python developers who want to move beyond basic LLM prompts to create complex, stateful workflows.
No commits in the last 6 months.
Use this if you are a Python developer who wants to build advanced LLM applications with features like context awareness (RAG), streaming, and parallel processing.
Not ideal if you are looking for an introduction to large language models themselves or a non-coding tool for LLM application development.
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Language
Python
License
MIT
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Last pushed
Apr 01, 2024
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