Awesome Artificial Intelligence

URL: https://github.com/owainlewis/awesome-artificial-intelligence#readme
Category: Themed Directories
Publisher / Brand: owainlewis

Overview

Awesome Artificial Intelligence is a curated, GitHub-hosted directory of actively maintained resources for building and shipping AI systems. It emphasizes AI engineering topics such as retrieval‑augmented generation (RAG), agents, evaluation, guardrails, and deployment, alongside selected books, guides, papers, courses, and tools.

Features

Core Focus

• Curated collection of “must‑use” and actively maintained AI resources
• Emphasis on AI engineering:
  • Retrieval‑Augmented Generation (RAG)
  • Agents
  • Evals (evaluation of AI systems)
  • Guardrails and safety mechanisms
  • Deployment and productionization
• Mix of conceptual learning resources and practical tooling

Core Resources (Evergreen)

Resources intended to remain valuable over time regardless of changing tools.

Books

• Modern & Practical AI books (focused on current methods and applied AI)
• Foundational AI books (covering core theory and historical foundations)

AI Engineering

Frameworks, patterns, and references for building robust AI systems.

• Guides & Playbooks

  • Written guidance on AI system design and implementation
  • Practical playbooks for moving from prototypes to production

• Frameworks

  • Libraries and frameworks to structure AI applications and workflows

• Retrieval‑Augmented Generation (RAG)

  • Resources on architectures, patterns, and tooling for RAG systems

• Evals

  • Tools and methodologies for evaluating AI models and applications

Landmark Papers

• Influential research papers that shaped modern AI
• Focus on explaining the rationale and architectures underlying contemporary methods

Learning Resources

Courses

Structured educational material across levels:

• Beginner courses for entry‑level understanding
• Intermediate / Advanced courses for deeper or specialized study
• Focused courses targeting particular subdomains or skills

Newsletters

• Curated list of AI newsletters
• Helps users stay current on AI developments while reducing information overload

Tools

Catalog of tools for building and deploying AI applications.

• Models

  • Links to or references for AI/LLM models and model providers

• Code & Developer Tools

  • Developer‑oriented utilities for integrating, testing, and managing AI in software

• Multimedia AI Tools

  • Image: tools for image generation, editing, or analysis
  • Video: tools for video generation, editing, or understanding
  • Audio: tools for audio generation, transcription, or analysis

Repository Structure & Metadata

• Public GitHub repository (owainlewis/awesome-artificial-intelligence)
• Versioning and history via commits
• Standard open‑source metadata files (e.g., LICENSE, pyproject.toml)
• Archived subdirectory for older or superseded resources

Pricing

• Not applicable: this is an open, GitHub-based curated list of resources; no pricing plans are indicated.