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Articole: 9
  1. Improving DeepSeek R1 in Math

    I joined a team and we trained 7B and 14B math reasoning models based on DeepSeek-R1-Distill using SFT and GRPO.

  2. Are Reasoning Abilities Low-Rank?

    Turns out, the RL training process of DeepScaleR-1.5B introduced only low-rank changes to its base model, DeepSeek-R1-Distill-1.5B.

  3. Learning to Rank in Web Search

    Learning to Rank (LTR) is a core component of any recommendation system.

  4. I built a cheap-ish 2x3090 RTX Deep Learning rig for my personal projects and experiments.

  5. To celebrate the week of Bing’s integration with ChatGPT, I built an AI bot based on GPT-3 and BLIP-2 to play Dixit and gathered some friends and co-workers to play against it.

  6. Deep Metric Learning: a (Long) Survey

    A brief survey of common supervised approaches for Deep Metric Learning, as well as the new methods proposed in recent years.

  7. How to Dominate on Tech Interviews

    Do you want to dominate your interviewer?

  8. An in-depth survey on Multi-Task Learning techniques that works like a charm as-is right from the box and are easy to implement – just like instant noodle!

  9. Remarks on 14th Smale's Problem

    The connection between the proof of the existance of the Lorenz Attractor, its Geometric Flow Model, and the Knot Theory Model.