Intermediate

Papers with Code - Latest AI Research

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Browse state-of-the-art AI research papers with code implementations. Stay updated with latest...

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by Papers with Code

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MIT AI Research Publications

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MIT's AI research covering machine learning, computer vision, NLP, and robotics. World-class...

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by MIT CSAIL

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Stanford AI Lab Research Papers

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Latest AI research from Stanford: computer vision, NLP, robotics, and more. Cutting-edge...

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by Stanford AI Lab

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AI Alignment: Why It's Hard

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Deep dive into the AI alignment problem: ensuring AI systems do what we want them to do.

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by Alignment Forum

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Intermediate

Bias in Machine Learning Systems

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Understand algorithmic bias: sources, detection, mitigation strategies, and building fair ML...

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by Google

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Beginner

Microsoft Responsible AI Principles

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Framework for building responsible AI: fairness, reliability, privacy, inclusiveness,...

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by Microsoft

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Model Monitoring and Observability

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Monitor ML models in production: detect drift, track performance, and maintain model health over...

mlops production monitoring

by Evidently AI

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MLOps Principles and Best Practices

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Comprehensive guide to MLOps: model deployment, monitoring, CI/CD for ML, and scalable AI systems.

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by ML-Ops Community

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Intermediate

AI Safety and Alignment

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Critical discussion on AI safety, alignment problems, and building beneficial AI systems that...

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by Center for AI Safety

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Image Segmentation with Deep Learning

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Comprehensive guide to image segmentation: U-Net, Mask R-CNN, semantic vs instance segmentation,...

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by TensorFlow

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Beginner

Prompt Engineering Guide

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Comprehensive guide to prompt engineering: techniques, examples, best practices for GPT-4,...

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by DAIR.AI

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Intermediate

The Illustrated Transformer

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Visual explanation of the Transformer architecture that powers modern LLMs. Clear diagrams and...

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by Jay Alammar

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GANs Explained - Generative Adversarial Networks

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Complete guide to GANs: architecture, training process, applications in image generation, and...

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by Google

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Intermediate

Understanding CNNs for Computer Vision

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Deep dive into Convolutional Neural Networks: filters, pooling, architectures like ResNet,...

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by Stanford CS231n

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Beginner

What is Machine Learning? Visual Explanation

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Beautiful visual explanation of machine learning concepts including supervised, unsupervised, and...

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by R2D3

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