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Recommended Blogs & Resources

A curated collection of high-quality blogs and resources for staying up-to-date with Retrieval Augmented Generation (RAG), Machine Learning, Deep Learning, and Artificial Intelligence.

Retrieval Augmented Generation (RAG) & LLMs

  • Anthropic Research - Anthropic.
  • Research on steering AI systems, constitutional AI, and large language model safety. (Focus: LLM Safety, Alignment)
  • Hugging Face Blog - Hugging Face.
  • The community hub for open-source AI, featuring model releases, tutorials, and demos. (Focus: Open Source AI, NLP)
  • LangChain Blog - LangChain.
  • Tutorials, case studies, and updates on building context-aware reasoning applications with LangChain. (Focus: RAG, Agents)
  • LlamaIndex Blog - LlamaIndex.
  • Deep dives into data connectors, indices, and best practices for RAG pipelines. (Focus: RAG, Data Indexing)
  • OpenAI Blog - OpenAI.
  • Insights into cutting-edge AI research, GPT models, and safety from the creators of ChatGPT. (Focus: LLMs, Generative AI)
  • Pinecone Learn - Pinecone.
  • Excellent technical guides on vector databases, semantic search, and RAG architectures. (Focus: RAG, Vector Search)

Deep Learning (DL) & Research

  • Berkeley AI Research (BAIR) - UC Berkeley.
  • Research findings and perspectives from one of the top academic AI labs in the world. (Focus: Academic Research)
  • Distill - Distill (Archive).
  • Visual and interactive explanations of machine learning concepts (Classic resource). (Focus: Visualization, DL)
  • Google DeepMind Blog - Google DeepMind.
  • Groundbreaking research in deep learning, reinforcement learning, and scientific discovery (e.g., AlphaFold). (Focus: AGI, Deep Learning)
  • NVIDIA AI Blog - NVIDIA.
  • Updates on hardware acceleration, generative AI, and industry applications of deep learning. (Focus: Hardware, GenAI)
  • The Gradient - Community.
  • High-quality articles bridging the gap between advanced research and accessible explanation. (Focus: AI Research, Trends)

Artificial Intelligence (AI) & Engineering

  • Chip Huyen's Blog - Chip Huyen.
  • Practical insights on MLOps, designing machine learning systems, and real-world engineering. (Focus: MLOps, Engineering)
  • Eugene Yan's Blog - Eugene Yan.
  • Thoughts on building searching, recommendation, and machine learning systems in production. (Focus: RecSys, Applied ML)
  • Lil'Log - Lilian Weng (OpenAI).
  • In-depth technical blog posts on agents, multi-modal AI, and transformer architectures. (Focus: AI Engineering, Agents)
  • Sebastian Raschka's Blog - Sebastian Raschka.
  • Tutorials and articles on deep learning, PyTorch, and LLMs with a focus on education. (Focus: AI Education, Coding)
  • The Batch - Andrew Ng / DeepLearning.AI.
  • Weekly newsletter and blog covering the most important AI news and research. (Focus: AI News, Industry)

Machine Learning (ML) & Data Science

  • Fast.ai Blog - Jeremy Howard.
  • Making neural nets uncool again; focused on accessible deep learning education. (Focus: Practical DL)
  • Machine Learning Mastery - Jason Brownlee.
  • Practical "how-to" guides and tutorials for developers getting started with ML. (Focus: Applied ML, Algorithms)
  • Towards Data Science - Medium Publication.
  • A massive collection of articles covering everything from basic ML concepts to advanced tutorials. (Focus: General ML, Data Science)