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What the Question Parser Extracts from a User String: Keywords, Scope, Shape, Decomposition, Clarification
part of the question-parsing brick of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks: parsing, question parsing, retrieval, and…
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The Secret to Reproducible and Portable Optimization: ORPilot’s Intermediate Representation (IR)
In my previous post, I four core innovations that makes ORPilot a…
You Probably Don’t Need an Agent Framework
an LLM application. Ok, the first thought that comes to your mind…
MiniMax Sparse Attention (MSA): a Two-Branch Block-Sparse Attention Trained on a 109B-Parameter MoE With a 3T-Token Budget
MiniMax released MSA (MiniMax Sparse Attention), a sparse attention method built directly…
OpenAI’s Deployment Simulation Extends Pre-Deployment Risk Assessment to Agentic Coding Through Simulated Tool Calls
OpenAI published a new pre-deployment safety method called Deployment Simulation. The idea…
How to Build Memory-Efficient Transformers with xFormers Using Packed Sequences, GQA, ALiBi, SwiGLU, and Causal Attention
print("\n" + "="*70 + "\n4. Variable-length packed batch — no padding waste\n"…
LLM Fallbacks Break Agent Pipelines — I Built the Missing Recovery Layer
TL;DR don’t just pause your agents. They ruin your data structure if…
Meet Qwen-RobotSuite: Three Embodied AI Models for VLA Manipulation, Video World Modeling, and Navigation
The Qwen team has released three embodied AI models, grouped as Qwen-Robot-Suite.…
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