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beamnxwbeamnxwbeamnxwbeamnxwbeamnxw
9月26日9月26日9月26日9月26日9月26日

this is pure f*cking treasure这简直是该死的宝藏

20 useful GitHub projects for a system that captures sources, connects ideas, remembers context, and helps agents act on it20个实用的 GitHub 项目,用于构建一个能捕捉来源、连接想法、记忆上下文并帮助智能体采取行动的系统

your second brain should get sharper after every session你的第二大脑应该在每次会话后变得更加敏锐

CAPTURE THE INPUT

Sebastian Raschka, PhD's avatar
Sebastian Raschka, PhDSebastian Raschka, PhDSebastian Raschka, PhDSebastian Raschka, PhDSebastian Raschka, PhD
9月29日9月29日9月29日9月29日9月29日

Took a while, but here it is, a mega write-up on language models for text classification and, of course, Jev. 花了不少时间,但终于完成了,这是一篇关于用于文本分类的语言模型以及 Jev 的深度长文。

It's basically a visual guide to RNNs, CNNs, transformers, and calibration, with hands-on experiments on accuracy and efficiency.这基本上是一份关于 RNN、CNN、Transformer 和校准的可视化指南,并附带了关于准确性和效率的实践实验。

Language Models for Text Classification: From Bag-of-Words to Jev用于文本分类的语言模型:从词袋模型到 Jev
AI Engineering Insider's avatar
AI Engineering InsiderAI Engineering InsiderAI Engineering InsiderAI Engineering InsiderAI Engineering Insider
2d

LLM → RAG → AI Agent → Agentic AI (Save this)LLM → RAG → AI 智能体 → 智能体化 AI(建议收藏)

cr: bytebytego来源:bytebytego

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9月26日9月26日9月26日9月26日9月26日

This is free gold!这是免费的黄金内容!

This full Jeff Dean lecture teaches you how to build AI from basic prompts to coordinating 100-agent graphs.这堂完整的 Jeff Dean 讲座教你如何从基础提示词构建 AI,直到协调 100 个智能体组成的图结构。

Save this.收藏起来。

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9月17日9月17日9月17日9月17日9月17日

I trained the fly brain to play chess and it checkmated Opus 5 in 11 moves.我训练了果蝇大脑来下棋,它在 11 步内将死(checkmated)了 Opus 5。

The brain itself has 138,639 neurons and 15,091,983 connections. What is mostly trained is an encoder from the board into the 10,855 visual sensory neurons, and a decoder reading the central brain into a 1968-move policy and a 64-bin win probability.这个大脑本身拥有 138,639 个神经元和 15,091,983 个连接。主要训练的部分是一个将棋盘编码为 10,855 个视觉感知神经元的编码器,以及一个将中央大脑读取为 1968 种移动策略和 64 仓位胜率的解码器。

It was trained…它经过了训练……

土摩托