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Generative AI with LangChain

You're reading from   Generative AI with LangChain Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781835083468
Length 368 pages
Edition 1st Edition
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Author (1):
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Ben Auffarth Ben Auffarth
Author Profile Icon Ben Auffarth
Ben Auffarth
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Table of Contents (13) Chapters Close

Preface 1. What Is Generative AI? 2. LangChain for LLM Apps FREE CHAPTER 3. Getting Started with LangChain 4. Building Capable Assistants 5. Building a Chatbot Like ChatGPT 6. Developing Software with Generative AI 7. LLMs for Data Science 8. Customizing LLMs and Their Output 9. Generative AI in Production 10. The Future of Generative Models 11. Other Books You May Enjoy
12. Index

Writing code with LLMs

Let’s start off by applying a model to write code for us. We can use one of the publicly available models for generating code. I’ve listed a few examples before, such as ChatGPT or Bard. From LangChain, we can call OpenAI’s LLMs, PaLM’s code-bison, or a variety of open-source models, for example, through Replicate, Hugging Face Hub, or – for local models – Llama.cpp, GPT4All, or Hugging Face pipeline integrations.

StarCoder

Let’s have a look at StarCoder, which is a small model for code generation and quite capable of doing that. It is available at Hugging Face Spaces at this URL: https://huggingface.co/spaces/bigcode/bigcode-playground

This screenshot shows the model in a playground on Hugging Face Spaces:

Figure 6.3: StarCoder Models Playground

We can choose between different models: StarCoder, StarCoderPlus, and StarCoderBase. Please note that, as the description says, the StarCoder...

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