Free AI Resources

The most popular AI chatbot by OpenAI, with a generous free tier.

Anthropic's AI assistant, excellent for analysis and writing.

Google's AI with free access and Google Workspace integration.

Open-source platform with thousands of free AI models.

Run LLMs locally on your machine, for free.

AI search engine with sourced and reliable answers.

The reference course by Andrew Ng, accessible to beginners.

Free deep learning courses with a practical approach.

Essential math and statistics foundations for AI.

Excellent visualizations of mathematical concepts and neural networks.

Specializations and short courses on deep learning and LLMs.

Introduction to AI course by Google, ideal for beginners.

The largest ML community on Reddit with technical discussions.

Active community of AI developers and NLP researchers.

Community dedicated to open-source and local AI models.

Slack community for MLOps and data engineering professionals.

Follow @kaborekevin, @AndrewYNg, @ylecun for AI news.

Thousands of free datasets with example notebooks.

Historical collection of datasets for machine learning.

Search engine to find public datasets.

Dataset hub for NLP, vision, and audio.

French government open data, ideal for local projects.

API for GPT-4, DALL-E, and Whisper with a free tier to test.

API for Claude, excellent for complex tasks and analysis.

Open-source framework for building applications with LLMs.

Framework for connecting LLMs to your data (RAG).

SDK to integrate AI models in React/Next.js web applications.

Build data/ML applications in Python with just a few lines of code.

Open-source automation platform, free to self-host.

Visual automation with a free tier of 1,000 operations/month.

Connect your apps together with a free tier of 100 tasks/month.

Open-source alternative to Zapier, self-hostable.

Build LLM workflows visually, open-source.

Weekly newsletter from DeepLearning.AI on the latest AI advances.

Daily summary of the most important AI news in 5 min.

Technical newsletter on research papers and ML trends.

Follow the latest research papers with their source code.

Weekly newsletter by Jack Clark on AI policies and research.

Daily newsletter on AI tools and the AI startup ecosystem.