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Building RAG Systems - Complete Guide
Tutorial
Retrieval Augmented Generation: combine vector search with LLMs for enhanced AI responses....
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AI Tutorials for Advanceds
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MIT AI Research Publications
Article
MIT's AI research covering machine learning, computer vision, NLP, and robotics. World-class...
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Stanford AI Lab Research Papers
Article
Latest AI research from Stanford: computer vision, NLP, robotics, and more. Cutting-edge...
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AI Alignment: Why It's Hard
Article
Deep dive into the AI alignment problem: ensuring AI systems do what we want them to do.
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Model Monitoring and Observability
Article
Monitor ML models in production: detect drift, track performance, and maintain model health over...
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Full Stack Deep Learning
Course
Build and deploy production ML systems. Covers MLOps, testing, infrastructure, and team...
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MLOps Principles and Best Practices
Article
Comprehensive guide to MLOps: model deployment, monitoring, CI/CD for ML, and scalable AI systems.
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Spinning Up in Deep RL by OpenAI
Course
Educational resource for learning deep reinforcement learning. Includes tutorials, papers, and...
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Image Segmentation with Deep Learning
Article
Comprehensive guide to image segmentation: U-Net, Mask R-CNN, semantic vs instance segmentation,...
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Stanford CS231n: CNNs for Visual Recognition
Course
Definitive course on computer vision and CNNs. Covers image classification, detection,...
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Fine-Tuning Large Language Models
Tutorial
Complete guide to fine-tuning LLMs for specific tasks. Covers techniques, best practices, and...
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GPT-4 Technical Report
Whitepaper
OpenAI's technical report on GPT-4: architecture, capabilities, limitations, and safety...
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Attention Is All You Need - Original Paper
Whitepaper
The groundbreaking paper that introduced the Transformer architecture, revolutionizing NLP and AI.
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Stanford CS224N: NLP with Deep Learning
Course
Graduate-level NLP course covering word vectors, neural networks, attention, transformers, and...
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Deep Learning Book by Goodfellow
Book
The deep learning textbook. Comprehensive coverage of ML basics, deep networks, optimization,...
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GANs Explained - Generative Adversarial Networks
Article
Complete guide to GANs: architecture, training process, applications in image generation, and...
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MIT 6.S191 Introduction to Deep Learning
Course
MIT's intensive course on deep learning covering CNNs, RNNs, transformers, GANs, and...
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