This repository offers an open-source ebook, "Unlocking the Potential of Large Language Models: Real-World Use Cases," aimed at developers and architects. It provides comprehensive guidance on leveraging Large Language Models (LLMs) for application development, covering prompt engineering, architecture design, and the integration of LLMs into software development lifecycles.

How It Works

The project explores LLM capabilities through practical applications and architectural patterns. It emphasizes prompt engineering as a core component, treating prompts as code for better management and execution. The approach delves into designing software development processes and application architectures that are "AI 2.0" friendly, integrating tools like ChatGPT and Copilot to enhance efficiency across the development lifecycle, from requirements to testing.

Quick Start & Requirements

This is an ebook and a collection of related projects. The primary way to engage is by reading the ebook. Specific projects within the ecosystem have their own setup requirements, often involving Python and potentially GPU resources for fine-tuning models. Links to related projects like ClickPrompt, ChatFlow, and Unit Runtime are provided for deeper exploration.

Highlighted Details

• Covers prompt writing, management, and engineering as core LLM application development practices.
• Explores "AI 2.0" software development processes, integrating LLMs like ChatGPT and Copilot.
• Details LLM application architecture design, including concepts like Unit Mesh.
• Provides resources for building custom models through fine-tuning and LLMOps.

Maintenance & Community

The project is driven by author @phodal and contributions from Thoughtworks colleagues and the open-source community. Related projects are actively maintained. Further updates can be found via the author's WeChat public account.

Licensing & Compatibility

The repository's specific license is not explicitly stated in the provided text, but the nature of an open-source ebook and associated projects suggests a permissive license, likely suitable for commercial use and integration into closed-source projects.

Limitations & Caveats

The ebook focuses on LLM applications and architecture, assuming a foundational understanding of LLMs. Some related projects may have specific hardware or software dependencies (e.g., GPU for fine-tuning) not detailed here.