Browsing Tag
LLM
157 posts
Why Enterprise AI Requires Smarter Orchestration, Not Bigger Models
Every week, a new AI model launches with a larger context window, more parameters, or a higher benchmark…
大语言模型的每个参数到底能储存多少信息
https://www.youtube.com/watch?v=_OTcigj2rwg 这期来自 最佳拍档 的视频解读了一篇发表于 ICML 2026 的重磅论文（由 Meta、DeepMind、康奈尔大学与 NVIDIA 联合完成）[[00:43]]。 视频核心解答了“大语言模型的每个参数到底能储存多少信息”，并从信息论的角度重新定义了 LLM 的“记忆”与“泛化”，主要内容包含以下几个核心重点： 核心要点总结 1. 记忆容量的精确量化：约 3.6 比特/参数…
Bio-Tuning Glasses: Building an Invisible Biofeedback Interface with Edge AI and Adaptive Optics
Bio-Tuning Glasses: Building an Invisible Biofeedback Interface with Edge AI and Adaptive Optics What if smart glasses didn’t…
The OpenAI/Hugging Face Incident is a Wake-Up Call for Model Eval Security
The OpenAI/Hugging Face Incident is a Wake-Up Call for Model Eval Security Yesterday’s disclosure from OpenAI and Hugging…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from…
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40%
Optimizing RAG at Scale: Chunking, Retrieval, and the Bayesian Search That Cut Latency 40% How we moved from…
From 9% to 63%: Letting a Benchmark Build a Better MCP Security Proxy
You can’t improve what you don’t measure. So I measured how much of the AI-agent attack surface a…
An alternative to LLM quality gates: deterministic routing + sampling
Every “agent quality gate” I tested shares one fatal assumption: that an LLM can judge whether an LLM…
Vision Language Models — When AI Learns to See and Talk (Part 3 of 3)
Originally published on my blog. Cross-posted here with a canonical link. This is Part 3 of a 3-part…
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