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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. A new paper takes a different…
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Rerankers Aren’t Magic Either: When the Cross-Encoder Layer Is Worth the Cost
article. Two situations. Scene 1. A team building a RAG system over…
Proxy-Pointer RAG: Eliminating Wasteful Entity & Relations Extraction in Knowledge Graphs
In my article on Solving Entity and Relationship Sprawl in Knowledge Graphs,…
A Coding Implementation on Loguru for Designing Robust, Structured, Concurrent, and Production-Ready Python Logging Pipelines
banner("1) logger.configure(): handlers + custom level + extra + patcher") mem =…
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,…
Build Skill-Augmented AI Agents with SkillNet for Search, Evaluation, Graph Analysis, and Task Planning
banner("5) Evaluate skills on 5 quality dimensions (quality gate)") DIMS = LEVEL_SCORE…
Best Text-to-Speech TTS Models in 2026: A Benchmark-Based Comparison
Text-to-speech TTS moved fast over the past year. The line between synthetic…
Meta-Cognitive Regulation Might Be the Most Important AI Skill Nobody Is Talking About
into the world of generative AI adoption for almost the past three…
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