OPENAI: 大语言模型的数学推理
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打开封面 下载高清视频 观看高清视频 视频下载器
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Scaling AI the Human Way Building Machines That Understand the world
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torchdynamo deep dive
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联邦学习：Federated Learning on Decentralized Data (Google I_O'19)
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AI 产品介绍(imagica.ai)：无需代码就可以制作AI 应用
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Paper Reading: Causal Inference with LLM from Microsoft
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Stanford CS234_ Reinforcement Learning: 蒙特卡洛树搜索和AlphaGO
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paper reading: EvolveGCN 处理时间序列动态图网络
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Can China's AI Technology Compete With the US
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我从来不用自己剪视频，因为我会用AI
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Nic Lane_ Machine Learning Systems_ On-device AI and beyond
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Harnessing On-Device AI to Transform the Smartphone Experience
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Lecture 17 - TinyEngine - Efficient Training and Inference on Microcontrollers _
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Tutorial: Neural Algorithmic Reasoning
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LCM-LoRA, S-LoRA, LoRAX 讲解（英文，b站自动翻译中文字幕）
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Lecture 04 - Pruning and Sparsity (Part II) MIT han lab
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Mamba结构： Linear Time Sequence Modeling with Selective State Spaces
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Lecture 15 - On-Device Training and Transfer Learning (Part I) _ MIT 6.S965
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GPU 编程优化 workshop (hosted by @ChipHuyen )
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大语言模型-Prompt Engineering (LLM Bootcamp)
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Bloomberg 科技新闻 （02/05/2024）
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Lecture 05 - Quantization (Part I) MIT 6.S965
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Y2Mate.is - Lecture 19 - Efficient Video Understanding and Generative Models MI
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What you can do with WebGPU By Corentin Wallez, François Beaufort
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Markus Pelger, Stanford University Deep Learning Statistical Arbitrage (9/7/21)
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paper reading: StockFormer 结合SAC强化学习的Trading 算法
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Stochastic Market Microstructure Models of Limit Order Books
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Understanding over-squashing and bottlenecks on graphs via curvature Ricci Flow
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强化学习经典Paper Reading: 分布式强化学习A3C paper 导读
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Lecture 11 - MCUNet_ Tiny Neural Network Design for Microcontrollers _ MIT 6.S96
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如何fine-tune 大语言模型：IntuitiveAI-Finetuning
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深度学习 pruning （转自 MIT han lab 油管视频）
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Mathematical Trading Strategies
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Google vs Google The internal struggle holding back its AI
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Large Model Training and Inference with DeepSpeed Samyam Rajbhandari
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Y2Mate.is - Lecture 02 - Basics of Neural Networks MIT
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GNN paper reading: 图网络跟对比学习结合应用到推荐系统业务场景
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Lecture 18 - Efficient Point Cloud Recognition _ MIT 6.S965
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Statistical Sampling - Part IV_ Monte Carlo Integration & Importance Sampling
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哈佛创投+DAO主题
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上海交大张伟楠强化学习课程第1讲：强化学习简介II