This repository serves as a curated collection of articles and tutorials for individuals looking to understand and engage with generative AI. It targets beginners to practitioners, offering a structured learning path and practical guidance on key concepts and tools.

How It Works

The repository organizes resources into logical sections covering foundational concepts, specific tools like LangChain, prompt engineering techniques, practical projects, and emerging trends. It links to external articles and code repositories, providing a comprehensive, self-guided learning experience. The structure facilitates a progressive understanding from basic principles to advanced applications.

Quick Start & Requirements

This is a curated list of links, not a runnable application. No installation is required. Access to the internet is necessary to view the linked articles and tutorials.

Highlighted Details

• Extensive coverage of LangChain for LLM application development, including RAG and memory management.
• Detailed sections on prompt engineering best practices for instruction-tuned LLMs.
• Practical project examples, such as building a PDF-Chat app and automating YouTube script writing.
• Resources for understanding and implementing Generative Image Models, including GANs and Diffusion Models.

Maintenance & Community

This repository appears to be a static collection of curated links, with no explicit mention of active maintenance, contributors, or community channels.

Licensing & Compatibility

The repository itself contains no code or licensed material; it is a list of links to external resources. The licensing of the linked content would depend on the original sources.

Limitations & Caveats

As a curated list, the repository's content is dependent on the availability and accuracy of the external links. There is no guarantee of the longevity or maintenance status of the linked articles and tutorials.