Resources

Foundational papers (skim, don't grind)

• Attention Is All You Need (2017) — the transformer. https://arxiv.org/abs/1706.03762
• Retrieval-Augmented Generation (2020) — the RAG paper. https://arxiv.org/abs/2005.11401
• ReAct: Synergizing Reasoning and Acting (2022) — the agent loop. https://arxiv.org/abs/2210.03629

Tools to try

• Claude — https://claude.ai
• ChatGPT — https://chat.openai.com
• OpenAI Playground — https://platform.openai.com/playground
• Anthropic Console — https://console.anthropic.com
• Hugging Face (open models) — https://huggingface.co
• Google Colab (run the labs) — https://colab.research.google.com

Frameworks (covered in Module 6)

• LangChain — https://python.langchain.com
• LlamaIndex — https://docs.llamaindex.ai
• CrewAI — https://docs.crewai.com
• Model Context Protocol (MCP) — https://modelcontextprotocol.io

Going deeper

• DeepLearning.AI short courses — https://www.deeplearning.ai/short-courses/
• fast.ai — https://www.fast.ai
• Anthropic docs — https://docs.anthropic.com
• OpenAI docs — https://platform.openai.com/docs