Stay updated with the latest in AI models. Here are the top picks for today, curated and summarized by HappyMonkey AI.
Granite 4.1 LLMs: How They’re Built
Granite 4.1 LLMs: How They’re Built +70 An in-depth technical walkthrough of data engineering, pre-training, supervised fine-tuning, and reinforcement learning behind the Granite 4.1 LLMs.. Authors: Granite Team, IBM TL;DR — Granite 4.1 is a family of dense, decoder‑only LLMs…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
DeepInfra on Hugging Face Inference Providers 🔥
DeepInfra on Hugging Face Inference Providers 🔥 +7 We’re thrilled to share that DeepInfra is now a supported Inference Provider on the Hugging Face Hub!. DeepInfra joins our growing ecosystem, enhancing the breadth and capabilities of serverless inference directly on the…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
Introducing Storage Buckets on the Hugging Face Hub
Introducing Storage Buckets on the Hugging Face Hub +189 Hugging Face Models and Datasets repos are great for publishing final artifacts.. But production ML generates a constant stream of intermediate files (checkpoints, optimizer states, processed shards, logs, traces, etc.)…
Why it matters: Potentially relevant AI tooling update — review for integration potential.