This repository provides practical examples and guides for interacting with Large Language Models (LLMs), targeting developers and researchers looking to implement LLM-powered applications. It aims to simplify the process of leveraging LLM APIs and fine-tuning models for specific tasks.

How It Works

The cookbook offers a collection of code snippets and tutorials demonstrating various LLM use cases, including API integration, prompt engineering techniques, and fine-tuning workflows. It focuses on practical implementation, providing ready-to-run examples that showcase effective strategies for achieving desired LLM outputs.

Quick Start & Requirements

• Install: pip install -r requirements.txt
• Prerequisites: Python 3.7+, OpenAI API key.
• Setup: Requires obtaining and configuring an OpenAI API key.

Highlighted Details

• Examples for GPT-3.5 API with multi-turn conversation support.
• Practical guide for fine-tuning GPT-3.5 API.
• Covers prompt engineering techniques.

Maintenance & Community

The project is actively updated, with recent additions focusing on GPT-3.5 API functionalities. Community engagement details are not explicitly provided in the README.

Licensing & Compatibility

The repository does not explicitly state a license. Users should verify licensing for commercial use or integration into closed-source projects.

Limitations & Caveats

The examples are primarily focused on OpenAI's models and APIs. Usage may incur costs associated with API calls. The project's scope is limited to practical examples rather than a comprehensive LLM framework.