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Generative AI with LangChain

You're reading from   Generative AI with LangChain Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph

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Product type Paperback
Published in May 2025
Publisher Packt
ISBN-13 9781837022014
Length 476 pages
Edition 2nd Edition
Languages
Concepts
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Rise of Generative AI: From Language Models to Agents 2. First Steps with LangChain FREE CHAPTER 3. Building Workflows with LangGraph 4. Building Intelligent RAG Systems 5. Building Intelligent Agents 6. Advanced Applications and Multi-Agent Systems 7. Software Development and Data Analysis Agents 8. Evaluation and Testing 9. Production-Ready LLM Deployment and Observability 10. The Future of Generative Models: Beyond Scaling 11. Other Books You May Enjoy 12. Index Appendix

Hugging Face

Hugging Face is a very prominent player in the NLP space and has considerable traction in open-source and hosting solutions. The company is a French American company that develops tools for building ML applications. Its employees develop and maintain the Transformers Python library, which is used for NLP tasks, includes implementations of state-of-the-art and popular models like Mistral 7B, BERT, and GPT-2, and is compatible with PyTorch, TensorFlow, and JAX.

In addition to their products, Hugging Face has been involved in initiatives such as the BigScience Research Workshop, where they released an open LLM called BLOOM with 176 billion parameters. Hugging Face has also established partnerships with companies like Graphcore and Amazon Web Services to optimize their offerings and make them available to a broader customer base.

LangChain supports leveraging the Hugging Face Hub, which provides access to a massive number of models, datasets in various languages and...

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