Granite 4.2 LLMs: How They're Built
A Blog post by IBM Granite on Hugging Face
More from the blog
IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license
GPT-Lab
· gpt-lab.eu
Aug 28, 2026
We built an AI factory for HVAC control
What does it take to trust AI-driven HVAC optimization? Our AI Model Factory combines agents, machine learning, reinforcement learning and deterministic checks in a governed workflow designed for messy, real-world building data. The post We built an AI factory for HVAC control appeared first on GPT-Lab.
With a feel for physics, AI models simulate a wider range of real-world scenarios
“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
EvoLib: Turning experience into evolving knowledge
LLMs do not get smarter just by remembering more. EvoLib turns experience into evolving knowledge, taking reusable skills and insights that help models learn and adapt across tasks long after deployment. The post EvoLib: Turning experience into evolving knowledge appeared first on Microsoft Research.