AI Resources Library

Curated collection of 33 free AI tools, models, APIs, and learning resources. Everything listed here is 100% free to use.

Large Language Models

• LLaMA 3 — Meta's open-source LLM family, 8B–70B parameters
• Mistral AI — Open-weight models including Mistral 7B, Mixtral 8x7B
• Gemma — Google's lightweight open models from Gemini research
• Phi-3 — Microsoft's small language models for edge deployment
• Qwen — Alibaba's multilingual LLM with strong coding abilities
• DeepSeek — Open-source reasoning models, competitive with proprietary

AI APIs (Free Tiers)

• OpenAI API — GPT-4o, DALL·E, Whisper — free tier with rate limits
• Google AI Studio — Free Gemini access with generous limits
• Anthropic API — Claude models — free credits for new users
• Groq — Ultra-fast inference, free tier for LLaMA & Mixtral
• Together AI — Serverless inference for 100+ open models
• Hugging Face Inference — Free API for thousands of models

Development Tools

• LangChain — Framework for LLM chains, agents, and retrieval
• LlamaIndex — Data framework for connecting data to LLMs
• Ollama — Run LLMs locally — simple CLI for LLaMA, Mistral, etc.
• Vercel AI SDK — TypeScript toolkit for AI-powered streaming UIs
• Haystack — End-to-end NLP framework for search and QA
• Semantic Kernel — Microsoft's SDK for LLM integration

Image & Media

• Stable Diffusion — Open-source image generation — SDXL, SD 3.0
• ComfyUI — Node-based UI for advanced Stable Diffusion workflows
• Whisper — Free speech recognition in 99 languages
• Bark — Text-to-speech: realistic speech, music, sound effects
• CLIP — Vision-language model for search and classification
• Segment Anything — Meta's zero-shot image segmentation

Datasets & Data Tools

• Hugging Face Datasets — Thousands of ML datasets, easy loading
• Kaggle Datasets — Community-shared datasets for ML
• Common Crawl — Petabytes of web data, used to train many LLMs
• Label Studio — Open-source data labeling for text, images, audio

Learning & Research

• Papers With Code — ML papers linked with code implementations
• Arxiv AI — Open-access AI research pre-prints
• Fast.ai — Free practical deep learning courses
• Google ML Crash Course — Free ML course with exercises
• Stanford CS229 — Free ML lecture notes from Stanford