Les 10 concurrents deepspeed.ai les plus visités

github.com

Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity.

w3ccoo.com

w3schools 在线教程提供主要网络编程语言的免费学习教程,参考资料和实例练习。涵盖html,css,javascript,python,java,c,c++,c#,sql,php,bootstrap,xml,ai,chatgpt,bard,人工智能,编程语言,数据库,大数据分析,编程工具,运维工具,通信技术等热门主题。

tech.yellowback.net

transformers Flaxで文章分類の学習をGPUを使っておこなう

lightning.ai

All-in-one platform for AI from idea to production. Cloud GPUs, DevBoxes, train, deploy, and more with zero setup.

philschmid.de

Learn how to use the Gemini API File Search tool with JavaScript/TypeScript to build a Retrieval-Augmented Generation (RAG) system.

insujang.github.io

This post explains flash attention 1 2. More references are also useful to understand flash attention as well 3 4 5. Backgrounds # Attention # $$\text{Attention}(Q, K, V)=\text{softmax}(\frac{QK^T}{\sqrt{d^k}})V$$ This equation can be implemented as: class OPTAttention(nn.Module): def forward(...): # hidden states is an input tenor of Attention layer # Calculate Q, K, and V with linear projections to the input # query_states = self.q_proj(hidden_states) # key_states = self.k_proj(hidden_states) # value_states = self.

colossalai.org

作者：Yuxuan Lou, Mingyan Jiang