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Articole: 20

  1. Post-Training 101: From Base Model to Assistant

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  2. Pretraining 101: Data, Scale, and the Loss Function

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  3. MLWhiz Weekly Recsys/ML/GenAI Newsletter # 11 - The week US government pulled a frontier model offline on a letter

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  4. What is an LLM? Tokens, Embeddings, and the Big Picture

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  5. MLWhiz Weekly Recsys/ML/GenAI Newsletter # 10 - The week AI infrastructure crossed from a technology story to a financial one

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  6. The Transformer, Demystified — Let's Actually Build One

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  7. MLWhiz Weekly Recsys/ML/GenAI Newsletter # 9 - The week AI started its IPOs

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  8. Understanding Transformers, the MLE Way

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  9. HSTU From Scratch in PyTorch - A complete Walkthrough

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  10. MLWhiz Weekly Recsys/ML/GenAI Newsletter # 8 - The week of Google I/O 2026

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  11. MLWhiz Weekly Recsys/ML/GenAI Newsletter # 7 - The week Karpathy Joined Anthropic

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  12. HSTU: How Meta Built a Trillion-Parameter Recommender That Actually Scales

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  13. MLWhiz Weekly Recsys/ML/GenAI Newsletter # 6

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  14. From Random IDs to Semantic IDs: Building a Generative Recommender from Scratch

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  15. MLWhiz Weekly AI/ML/Recsys Newsletter # 5

    (MLWhiz: Recs|ML|GenAI)

    Story of the Week: The Great Unbundling The Microsoft–OpenAI partnership came apart Sunday night.

  16. Claude Code vs. Your ML Career: A 2026 Reality Check

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  17. The Most Complete Guide to PyTorch for Data Scientists

    (MLWhiz: Recs|ML|GenAI)

    PyTorch has sort of became one of the de facto standards for creating Neural Networks now, and I love its interface.

  18. I Use Claude Code Every Day. Here's the Setup That Actually Matters

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!

  19. MLWhiz Weekly AI/ML Newsletter # 4

    (MLWhiz: Recs|ML|GenAI)

    🏆 Story of the Week: OpenAI Just Bought 10% of Cerebras For two years, I’ve been hearing the same question in every infrastructure conversation: how does the Nvidia monopoly end?

  20. From RNNs to Transformers: Building Sequential Recommenders (Part 1)

    (MLWhiz: Recs|ML|GenAI)

    Hey, Rahul here!