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.

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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.

LLM application development AI engineering Python development multi-agent systems workflow automation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
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Language

Python

License

MIT

Last pushed

Apr 01, 2024

Commits (30d)

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