大模型生成内容是逐个 Token 蹦出来的。每产生一个新词，Transformer 都要计算当前词与之前所有词的关联。KV Cache 的逻辑很简单：把已经算好的 Key 和 Value 向量存进显存，下次直接复用，模型只需为新词计算 ...

The person who co-designed the architecture underneath every major AI assistant in the world — ChatGPT, Gemini, Claude — announced Thursday morning that he is leaving Google for OpenAI, less than two ...

Abstract: Transformers-based methods have achieved significant performance in image deraining as they can model the non-local information which is vital for high-quality image reconstruction. In this ...

因此，我们将在本小节对Transformer所涉及的细节进行深入探讨。 Transformer模型在2017年被google提出，直接基于Self-Attention结构，取代了之前NLP任务中常用的RNN神经网络结构，并在WMT2014 Englishto-German和WMT2014 English-to-French两个机器翻译任务上都取得了当时的SOTA。

Before diving into the internals of an LLM, it’s a good idea to first understand what an LLM actually is. In this blog, we will learn about BPE (Byte Pair Encoding) - the tokenization algorithm used ...

对于机器学习领域的从业者而言，键值（Key-Value, KV）记忆是再熟悉不过的基础组件 ...

Abstract: Image despeckling is important to synthetic aperture radar (SAR) image restoration and related downstream tasks. Because existing SAR image denoising algorithms are difficult to ...

So says Chris Lattner, co-Founder & CEO of Modular, pitched as the portable alternative to NVIDIA's software stack, designed ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, using software optimization alone. Engineers achieved more than 50% savings ...

Economic value accrues to those companies that allow AI models to operate at scale. This is where Australia is far more ...