21 Lessons, Get Started Building with Generative AI
18 Lessons to Get Started Building AI Agents
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here ππΌ
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Repo to accompany my mastering LLM engineering course
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Developer Asset Hub for NVIDIA Nemotron β A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
End-to-end project training and building AI models / LLMs to detect AI-written text
Repository for the "Building LLMs for Production" book by Towards AI.
A Python framework for performing information retrieval experiments, building on http://terrier.org/
A single executed notebook building and training a small GPT with RoPE and a phase-aware sparse MoE experiment
Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.
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