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https://github.com/simonpierreboucher/llm_anthropic_notebook

This repository contains Jupyter notebooks for working with Anthropic Large Language Models (LLMs), providing tools to explore chat-based interactions, retrieval-augmented generation, and text generation. These notebooks serve as a practical introduction to leveraging Anthropic models for various applications.
https://github.com/simonpierreboucher/llm_anthropic_notebook

anthropic anthropic-claude chatbot rag retrieval-augmented-generation text-generation

Last synced: 26 days ago
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Host: GitHub
URL: https://github.com/simonpierreboucher/llm_anthropic_notebook
Owner: simonpierreboucher
Created: 2024-11-13T21:25:36.000Z (about 2 months ago)
Default Branch: main
Last Pushed: 2024-11-13T21:35:07.000Z (about 2 months ago)
Last Synced: 2024-11-13T22:27:10.358Z (about 2 months ago)
Topics: anthropic, anthropic-claude, chatbot, rag, retrieval-augmented-generation, text-generation
Language: Jupyter Notebook
Homepage:
Size: 24.4 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# LLM Anthropic Notebook
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python Version](https://img.shields.io/badge/python-3.7%2B-blue.svg)](https://www.python.org/downloads/)
[![GitHub Issues](https://img.shields.io/github/issues/simonpierreboucher/llm-generate-function)](https://github.com/simonpierreboucher/llm-generate-function/issues)
[![GitHub Forks](https://img.shields.io/github/forks/simonpierreboucher/llm-generate-function)](https://github.com/simonpierreboucher/llm-generate-function/network)
[![GitHub Stars](https://img.shields.io/github/stars/simonpierreboucher/llm-generate-function)](https://github.com/simonpierreboucher/llm-generate-function/stargazers)

## Repository Structure

- **[ANTHROPIC-CHATBOT.ipynb](https://github.com/simonpierreboucher/llm_anthropic_notebook/blob/main/ANTHROPIC-CHATBOT.ipynb)**: Demonstrates how to set up and run a chatbot using an Anthropic model, focusing on conversational flow and responsive dialogue management.
- **[ANTHROPIC-RAG.ipynb](https://github.com/simonpierreboucher/llm_anthropic_notebook/blob/main/ANTHROPIC-RAG.ipynb)**: Implements Retrieval-Augmented Generation (RAG), where the model retrieves relevant information from a predefined source before generating responses. Ideal for Q&A systems and other information-based applications.
- **[ANTHROPIC-TEXTGEN.ipynb](https://github.com/simonpierreboucher/llm_anthropic_notebook/blob/main/ANTHROPIC-TEXTGEN.ipynb)**: Explores the text generation capabilities of Anthropic models, allowing for creative and informative text output.

## Getting Started

### Prerequisites

To run these notebooks, you will need:
- **Python 3.8+**
- **Jupyter Notebook**
- Dependencies listed in `requirements.txt`

### Installation

Install the required dependencies using:

```bash
pip install -r requirements.txt
```

### Running the Notebooks

1. **Start Jupyter Notebook**: Navigate to the repository folder and launch Jupyter:
```bash
jupyter notebook
```
2. **Select a Notebook**: Open any of the notebooks to explore chatbot interactions, RAG, or text generation.
3. **Follow Instructions**: Each notebook contains specific setup steps and instructions for interacting with the model.

## Use Cases

- **ANTHROPIC-CHATBOT**: Ideal for building conversational agents or virtual assistants.
- **ANTHROPIC-RAG**: Suitable for applications needing fact-based responses, such as customer support and knowledge retrieval.
- **ANTHROPIC-TEXTGEN**: Perfect for content generation, story creation, or any task requiring flexible text output.

## Contributing

Feel free to submit issues or pull requests to improve functionality or add new features.