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Articole: 11
  1. 2nd degree ML Thoughts

    some 2nd-degree toughs while learning ML

  2. ML Foundations

    ML Foundations

  3. Diffusion

    Figuring out Diffusion Models

  4. Machine Learning Systems

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  5. Notes on Paweł Obrępalski’s P99 CONF 2025 talk on optimizing the Go runtime for high-performance systems, focusing on scheduler behavior, garbage collection tuning, and observability.

  6. Understanding “LLM Evals”!

  7. But what is AI?

    These are aggregated resources which helps me understand AI more Intuitively.

  8. Notes on “How to Read a Paper”

    My notes on article “How to Read a Paper” by S.

  9. SOLID in GO

    Understanding SOLID principles in Go programming language.

  10. Notes on “Shamir's Secret Sharing: Explanation and Visualization” Blog

  11. Blogs are on Notion!

    I just migrated my blog from MDX to Notion as CMS