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How to Become a Machine Learning Engineer
In-depth article on career advice.
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RAG Evaluation Basics
In-depth article on rag, evaluation.
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Google Gemini Announcement
In-depth article on architecture.
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Announcing Mistral 7B
In-depth article on architecture.
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Introducing Llama 2
In-depth article on architecture.
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Introducing Amazon Bedrock
In-depth article on production.
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Introducing Claude
In-depth article on architecture.
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Introducing GPT-4
In-depth article on architecture.
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The NLP Course is becoming the LLM Course
In-depth article on career advice.
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Transformers: The Model Behind the Revolution
In-depth article on transformers.
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Function calling and other API updates
In-depth article on api, agents.
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The Illustrated GPT-2
In-depth article on transformers, architecture.
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Introducing text and code embeddings
In-depth article on embeddings, architecture.
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What is Retrieval-Augmented Generation (RAG)?
In-depth article on rag, architecture.
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Papers with Code - Latest AI Research
Browse state-of-the-art AI research papers with code implementations. Stay updated with latest advances.
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MIT AI Research Publications
MIT's AI research covering machine learning, computer vision, NLP, and robotics. World-class research.
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Stanford AI Lab Research Papers
Latest AI research from Stanford: computer vision, NLP, robotics, and more. Cutting-edge publications.
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AI Alignment: Why It's Hard
Deep dive into the AI alignment problem: ensuring AI systems do what we want them to do.
Article
Bias in Machine Learning Systems
Understand algorithmic bias: sources, detection, mitigation strategies, and building fair ML systems.
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Microsoft Responsible AI Principles
Framework for building responsible AI: fairness, reliability, privacy, inclusiveness, transparency, and accountability.
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Model Monitoring and Observability
Monitor ML models in production: detect drift, track performance, and maintain model health over time.
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MLOps Principles and Best Practices
Comprehensive guide to MLOps: model deployment, monitoring, CI/CD for ML, and scalable AI systems.
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AI Safety and Alignment
Critical discussion on AI safety, alignment problems, and building beneficial AI systems that align with human values.
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Image Segmentation with Deep Learning
Comprehensive guide to image segmentation: U-Net, Mask R-CNN, semantic vs instance segmentation, and applications.
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Prompt Engineering Guide
Comprehensive guide to prompt engineering: techniques, examples, best practices for GPT-4, Claude, and other LLMs.
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The Illustrated Transformer
Visual explanation of the Transformer architecture that powers modern LLMs. Clear diagrams and intuitive explanations.
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GANs Explained - Generative Adversarial Networks
Complete guide to GANs: architecture, training process, applications in image generation, and common pitfalls.
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Understanding CNNs for Computer Vision
Deep dive into Convolutional Neural Networks: filters, pooling, architectures like ResNet, VGGNet, and practical...
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What is Machine Learning? Visual Explanation
Beautiful visual explanation of machine learning concepts including supervised, unsupervised, and reinforcement...