📚 Resources

AI papers, courses & tools I recommend

📄 Must-Read Papers

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RAG: Retrieval-Augmented Generation 2020
The foundational paper for RAG systems by Facebook AI
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ReAct: Reasoning + Acting in LLMs 2023
How LLMs can reason and take actions - foundation for agents
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LoRA: Low-Rank Adaptation 2021
Efficient fine-tuning of large language models
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QLoRA: Efficient Finetuning 2023
Quantized LoRA for fine-tuning on consumer GPUs
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🎓 Free Courses

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DeepLearning.AI

Short courses on LLMs, RAG, Agents by Andrew Ng

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HuggingFace Courses

NLP, Transformers, Diffusion Models

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Fast.ai

Practical Deep Learning for Coders

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Full Stack Deep Learning

Production ML & LLMOps

🛠️ Tools I Use

🦜
LangChain Framework
Build LLM-powered applications
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CrewAI Multi-Agent
Orchestrate AI agent teams
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NVIDIA NeMo Platform
Enterprise AI agent development
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Hugging Face Hub
Models, datasets, and Spaces
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📖 Recommended Books

Designing Machine Learning Systems

Chip Huyen — MLOps bible

Build a Large Language Model

Sebastian Raschka — From scratch

Natural Language Processing with Transformers

HuggingFace Team

Deep Learning for Coders

Jeremy Howard — Fast.ai book

📺 YouTube Channels

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Andrej Karpathy Must Watch
Neural networks from scratch, GPT explained
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3Blue1Brown Visualizations
Beautiful math & neural network explanations
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AI Aboratory Tutorials
Practical AI implementation tutorials
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"The best way to learn is to build and share."

— Agentic Brahim