Ayush Thakur
@ayushthakur0
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Machine Learning Engineer @weights_biases
Kolkata, India
Joined September 2014
RT @supriyasahuias: As the saying goes, it takes a village to raise a child, and in the forests of Ramgarh, it took a forest, a railway, an….
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RT @GDGCloudGN: Big news! 🎉 @weights_biases is a Golden Sponsor at #GCCD2025 Gandhinagar!. From experiment tracking to MLOps at scale — W&B….
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RT @GDGCloudGN: We're thrilled to announce @xprilion (GDE in ML & GCP) & @ayushthakur0 (LLM & MLOps expert) for a special session at #ccdgn….
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RT @gdgcloudpune: 🎉 Sponsor Spotlight: @weights_biases at #CCDPune2025!. We’re excited to have @weights_biases as a sponsor for CCD Pune 20….
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RT @ariG23498: At ICLR this year @RisingSayak and I had a simple idea of forming a club around ML in the city of joy (where we come from).….
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Anyone building robots in Delhi? Wanna source a few parts from the local markets. Where should I go?.
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RT @cosmo3769: 🧠 What if an AI could assist doctors in detecting brain tumors?. Here, we fine-tune @Google's PaliGemma 2 to spot brain tumo….
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First of many. 🎺🎻🎷.
Hosting a @weights_biases meetup in Bangalore on 31st May! . If you're around, do join us for a day of AI, fun and learning! . RSVP here 👉
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Now that I use `uv venv` and no more conda env, I am deleting this list:
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What are some RL frameworks folks are using but not able to use W&B with it?. If you would like support with an integration, do let me know. :). Likewise, any training framework you would like to use W&B with?. Also anything missing in @huggingface trainer or similar frameworks?.
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. @weave_wb now supports one of the most popular low-code GenAI application builder. Kudos to @ParamBharat for working on this.
Dify 🤝 W&B Weave. We’re excited to join forces with @weights_biases to bring W&B Weave observability straight into Dify’s monitoring dashboard. Now you can track, evaluate, and refine your agent apps with full transparency—no extra setup required. Our GM, Dr Kiji Marudan, will
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A method I usually use to debug a complex logic using LLMs (cusor) is to first add print statement and write the stdout in a `debug.log` file. This way, the LLM finds it easy to understand the flow and where things might be erroring out.
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