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🏗️ Building on HF

Dipankar Sarkar PRO

dipankarsarkar
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mayafree's profile picture
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https://www.dipankar.cc

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 stas's post with 🤗 about 5 hours ago
I present to you a new experimental open book. https://github.com/stas00/python-cookbook I took my dense Python cheatsheet that I have been honing for many years and use a lot daily and turned it into a book of recipes. Is this useful? This is, of course, free, like other open books.
reacted to salma-remyx's post with 🔥 about 5 hours ago
What's holding your code back? Outrider finds, implements, and validates methods for your repo. While testing Outrider on a fork of huggingface/peft, I discovered "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models" (arxiv: 2402.02347) The work offers improved stability and faster convergence in LoRA finetuning by adjusting updates for curvature that LoRA optimizers typically ignore. Not the most recent paper, so I was pleasantly surprised my action surfaced this method as a candidate before implementing a PR. Even more surprised this method had not already been merged upstream. Turns out, the author did try contributing to peft a couple years ago, but people get busy and the PR was closed after going stale. So I decided to revive it! I opened an issue and soon after the author engaged to help land the feature. Now huggingface/peft #3382 is open, a joint effort with the paper's author. This whole episode has me thinking about the future of OSS maintenance with AI coding. The software projects which endure will be well-shaped to quickly land and help test new ideas. Across 30 forks, I've seen several papers land as clean PRs for multiple repos, which offers a perspective on how methods impact applications. Recent methods matching multiple frameworks: STARE, Entity Binding, BINEVAL Get Outrider: https://github.com/remyxai/outrider
upvoted a paper about 10 hours ago
AI translation of literary texts is "fine", but readers still prefer human translations
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