

this saturday we are going to host our first virtual vibe coding buildthon in our long forgoten @mlnomads where you will need to build, ship, and demo your work in 4h :D places are limited if you are interested ping me to register
Taha ⵣ
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@mlnomadpy
fixing nn @azettaai | AI jax/flax @GoogleDevExpert ML nomad, from the gradient dunes of the lost epochs


this saturday we are going to host our first virtual vibe coding buildthon in our long forgoten @mlnomads where you will need to build, ship, and demo your work in 4h :D places are limited if you are interested ping me to register



There is now a smarter way to pick data for training LLMs! Enter OPUS! This is an ICML Oral paper from SJTU, Alibaba, UW–Madison, UIUC, and Mila - Quebec AI Institute. The proposed method dynamically and intelligently selects the most impactful data for LLM pre-training in every single training iteration, bringing principled, continuous data optimization to the forefront. This approach aims to significantly boost training efficiency and yield higher-quality LLMs, outperforming conventional static data selection methods across diverse language tasks. OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration Paper: arxiv.org/pdf/2602.05400 Our report: mp.weixin.qq.com/s/xzmjviMMwX20… 📬 #PapersAccepted by Jiqizhixin




How is Spotify using AI alongside Java at scale? Spotify backend engineer @laytoun joins Marco to talk about MCP allowing users to control Spotify from ChatGPT, review fatigue, and what AI-assisted development looks like inside Spotify. 🎥 Watch: youtu.be/6WvoouJ9Mrk


