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Articole: 26
  1. Hi, Four weeks ago, I looked into Temporal.io as a platform for building and orchestration reliable workflows.

  2. Hi, For more than a year, I have been using coding agents, mostly Claude Code.

  3. Hi, In this post I want to outline Agentic AI.

  4. Hi, This post is written by AI as an experiment.

  5. Hi, this is the final post in my series about RAG systems.

  6. Hi, Based on my previous post, I looked into fine-tuning a bi-encoder via self-supervised learning.

  7. Hi, Based on my previous post, I need to write a correction.

  8. Hi, I decided to add another post to this year’s recap.

  9. This year's recap

    Hi, This year was an interesting learning experience.

  10. Hi, Over the last three months, I’ve been working on Agents and LLM workflows.

  11. Hi, The implementation of this article is here.

  12. Hi, This post is about the approximate nearest neighbor (ANN) algorithm.

  13. Hi, Some time ago, I did a small project on information retrieval.

  14. DISCLAIMER: This is wrong.

  15. Hi, It’s been a while since my last post, mostly because of my own laziness.

  16. Hi, In my first post, I looked into the explainability of classical machine learning models.

  17. Hi, Some months have passed since my last post.

  18. Hi, This post is about my implementation of an encoder transformer network from scratch as a follow-up of understanding the attention layer together with the colab implementation.

  19. Hi, Recently, I had to work on a simple time-series analysis.

  20. Endpoint validation

    Hi, In my previous job, I spent hours debugging internal data transformations to figure out the received data from an external API was faulty.

  21. Hi, This post is an homage to a stackoverflow post copying data from s3.

  22. Hi, This post is a short overview over a work project, where I trained a language model for invoices.

  23. Hi, Recently, I started to put some scripts together and run them against a Kaggle dataset.

  24. Hi, This post is a short overview of a stratified multi-label train-test split.

  25. Hi, This post is a summary of my implementation of the scaled-dot product attention and multi-head attention.

  26. Hi, In this initial post, I want to draft the development of my FastAPI skeleton.