Mistral says Le Chonk can rival top closed models while remaining open-weight.
This is a summary curated by AIFuture. Read the complete article at the original source:
Read the full story on Ars TechnicaPerplexity's pplx-embed-v2-late comes in 2 sizes: a 0.6B model built to run on edge devices, and a 9B model for building high-quality indexes. Its best score is 92.4% on MADQA, and its weakest is 61.2% on ViDoRe v3 Markdown. Both are MIT-licensed and ready to self-host. The post Perplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA appeared first on…
Oct 8, 2026
Unsloth's October 6 security overview explains how Studio checks code, weights, packages and tools before anything runs. Custom model code is scanned and approval is bound to its fingerprint. Flagged weight files are blocked in the load path, package-content findings fail CI, and tools run in probed OS sandboxes. Here is what each checkpoint decides, and what it does not cover. The post What…
Oct 8, 2026
Get ready for more AI in your Windows and more AI on the desktop.
Oct 8, 2026
Andrew Ng's flagship program covering supervised and unsupervised learning, neural networks, and best practices for real-world ML.
Five-course series on neural networks, CNNs, sequence models, and transformers from DeepLearning.AI.
Harvard's deep dive into the algorithms behind modern AI — search, knowledge, optimization, and machine learning.
Get the most important AI news and course picks in your inbox.