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Dipankar Sarkar's picture
๐Ÿ—๏ธ Building on HF

Dipankar Sarkar PRO

dipankarsarkar
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https://www.dipankar.cc
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AI & ML interests

Building the AI-native stack. Agents as infrastructure, safety as architecture, performance as plumbing. I publish the receipts: papers, datasets, demos.

Recent Activity

reacted to Hoglet-33's post with ๐Ÿ”ฅ 18 minutes ago
We are announcing the first generation of the Pebble model family! These are the models we are releasing: - Pebble 10M - Pebble 25M - Pebble 50M Each model will use a Mamba-Transformer 3:1 hybrid architecture and will be pretrained on 25 billion tokens before IFT and SFT. Depending on development time and resources, we may also release: - Pebble 5M - Pebble 75M - Pebble 1M (possibly) We hope you're excited and enjoy the models! Follow for more: @Hoglet-33 https://huggingface.co/basically-ai
upvoted a paper 20 minutes ago
Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints
upvoted a paper 20 minutes ago
NRT-Bench: Benchmarking Multi-Turn Red-Teaming of LLM Operator Agents in Safety-Critical Control Rooms
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