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I joined a team and we trained 7B and 14B math reasoning models based on DeepSeek-R1-Distill using SFT and GRPO.
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Turns out, the RL training process of DeepScaleR-1.5B introduced only low-rank changes to its base model, DeepSeek-R1-Distill-1.5B.
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Learning to Rank (LTR) is a core component of any recommendation system.
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I built a cheap-ish 2x3090 RTX Deep Learning rig for my personal projects and experiments.
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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.
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A brief survey of common supervised approaches for Deep Metric Learning, as well as the new methods proposed in recent years.
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Do you want to dominate your interviewer?
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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!
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The connection between the proof of the existance of the Lorenz Attractor, its Geometric Flow Model, and the Knot Theory Model.