How to Speed Up Transformer Training Using NVIDIA Apex (FusedAdam, FusedLayerNorm) and Native torch.amp
In this tutorial, we work through an implementation of NVIDIA Apex, focusing on the components that still matter in
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Fueling Minds with AI Insights
MiniMax Releases MiniMax M3 with MSA Architecture Supporting 1M-Token Context, Native Multimodality, and Agentic Coding
MiniMax officially released MiniMax M3 on June 1, 2026. The model introduces MSA (MiniMax Sparse Attention), a new sparse
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How UnoSearch and the GEO Movement Are Changing How Data Scientists Think About Search Visibility
Search engine optimization has always been, at its core, a problem of information retrieval. The entity asking the question
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Meet Memory OS: A 6-Layer Open-Source Memory Stack Built on Top of Hermes Agent
Hermes Agent already remembers across sessions. The open-source agent from Nous Research ships with curated memory files and full-text
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Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch
The Transformer’s attention mechanism has barely changed since 2017. Most efficiency work has tried to replace softmax attention outright.
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An Implementation of the Microsoft Agent Governance Toolkit for Safe AI Agent Tool Use with Policies, Approvals, Audit Logs, and Risk Controls
In this tutorial, we build a governed AI-agent workflow using Microsoft’s Agent Governance Toolkit as the reference point. We
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A Coding Implementation on Loguru for Designing Robust, Structured, Concurrent, and Production-Ready Python Logging Pipelines
In this tutorial, we implement a practical use case with Loguru, a powerful, flexible, and production-ready logging library for
Read MoreTrajectory Releases a Concurrent Multi-LoRA Training Stack for Continual Learning, Reporting a 2.81× Experiment-Throughput Gain
Trajectory’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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Trajectory Releases a Concurrent Multi-LoRA Training Stack for Continual Learning, Reporting a 2.81× Experiment-Throughput Gain
Trajectory’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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Build Skill-Augmented AI Agents with SkillNet for Search, Evaluation, Graph Analysis, and Task Planning
In this tutorial, we implement a SkillNet use case as a practical framework for discovering, installing, inspecting, evaluating, and
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