JetBrains Releases Mellum2: A 12B MoE Model for Fast, Specialized Tasks in Multi-Model AI Pipelines
JetBrains released Mellum2, open-sourcing the weights under the Apache 2.0 license. The first version of Mellum was a completion-focused
Read MoreFueling Minds with AI Insights
JetBrains released Mellum2, open-sourcing the weights under the Apache 2.0 license. The first version of Mellum was a completion-focused
Read MoreIn this tutorial, we work through an implementation of NVIDIA Apex, focusing on the components that still matter in
Read MoreMiniMax officially released MiniMax M3 on June 1, 2026. The model introduces MSA (MiniMax Sparse Attention), a new sparse
Read MoreSearch engine optimization has always been, at its core, a problem of information retrieval. The entity asking the question
Read MoreHermes Agent already remembers across sessions. The open-source agent from Nous Research ships with curated memory files and full-text
Read MoreThe Transformer’s attention mechanism has barely changed since 2017. Most efficiency work has tried to replace softmax attention outright.
Read MoreIn this tutorial, we build a governed AI-agent workflow using Microsoft’s Agent Governance Toolkit as the reference point. We
Read MoreIn this tutorial, we implement a practical use case with Loguru, a powerful, flexible, and production-ready logging library for
Read MoreTrajectory’s concurrent multi-LoRA stack reports a 2.81× experiment-throughput gain over single-tenant RL, with all code in the NovaSky-AI/SkyRL GitHub
Read MoreTrajectory’s concurrent multi-LoRA stack reports a 2.81× experiment-throughput gain over single-tenant RL, with all code in the NovaSky-AI/SkyRL GitHub
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