Welcome to AI Build & Learn, a weekly AI engineering stream where we pick a new topic and learn by building together.
Up next: AutoResearch (2026-04-17) Andrej Karpathy's AutoResearch concept — give an AI agent a small but real LLM training setup and let it experiment autonomously overnight. RSVP | Join the Slack
| 🔨 Topic | 📝 Description |
|---|---|
Andrej Karpathy's AutoResearch concept — give an AI agent a small but real LLM training setup and let it experiment autonomously overnight.
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Build with Google's newly released Gemma 4 models — different sizes across chat, agents, and visual understanding.
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Embeddings and vector stores — how semantic search actually works under the hood and how to build RAG pipelines on top.
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| 🔨 Topic | 📝 Description |
|---|---|
An e2e framework for creating, deploying and using isolated execution environments for agentic RL training, built using Gymnasium style simple APIs.
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Tavily is a search API often used by AI agents. Learn how to integrate Tavily search into your AI applications.
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Learn what MCP (Model Context Protocol) is and how to build an MCP server using FastMCP.
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# Clone the repository
# Create virtual environment
uv venv .venv --python 3.11
# Activate the venv
source .venv/bin/activate # macOS/Linux
# or
.venv\Scripts\activate # Windows
# Install dependencies
uv pip install -r TopicFOLDER/requirements.txt