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Post #6 623
巴黎理工大学的 Marc Lelarge 教授准备的手把手深度学习教程,有不少是用 Julia 写的。

https://dataflowr.github.io/

#ml #mooc
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Post #5 698
Unum 使用四块 RTX 3090 显卡就能训练一个比 OpenAI 还要好的 Vision-Language transformer 模型 -- UForm。要知道 OpenAI 用了 1024块 A100 显卡才训练出来。

UForm 不仅各方面表现优于 OpenAI 的 CLIP,而且推算速度也大大优于 CLIP。

对了,Unum 是一家在亚美尼亚的初创公司,目前只有13个人。

https://www.unum.cloud/blog/2023-02-20-efficient-multimodality

#ml
www.unum.cloud Beating OpenAI CLIP with 100x less data and compute | Unum Blog Demonstrating how to train state-of-the-art Vision-Language transformers for semantic search using 100x less data and compute than OpenAI CLIP.
Post #4 399
一键安装 LLaMA 之后,在一台 M1 Mac Mini 上跑起了 7B 的模型,速度还OK。大概吃了4G 内存。

这台是 16G 内存,8核的 M1 CPU。
Post #1
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