GitHub7 天
Train LLM From Scratch
The 13M LLM training is the training of a 13+ million-parameter model, and the 2B LLM training is the training of a 2+ billion-parameter model. The data size is categorized as small, medium, and large ...
Here’s How Big LLMs Teach Smaller AI Models Via Leveraging Knowledge Distillation
AI-driven knowledge distillation is gaining attention. LLMs are teaching SLMs. Expect this trend to increase. Here's the ...
iapp.org20 天
Perspective: Why data subjects' rights to LLM training data are not relevant
EU supervisory authorities take the position that DSRs need to be upheld throughout the process of training large language models, while at the same time requiring LLM providers to anonymize the ...
CNX Software9 天
Phison’s aiDAPTIV+ AI solution leverages SSDs to expand GPU memory for LLM training
While looking for new and interesting products I found ADLINK's DLAP Supreme series, a series of Edge AI devices built around ...
OpenAI finds DeepSeek used its data to train R1 reasoning model
DeepSeek is a Chinese artificial intelligence provider that develops open-source LLMs. R1, the latest addition to the company ...
Putting DeepSeek to the test: how its performance compares against other AI tools
This evaluation shows how competitive DeepSeek’s R1 chatbot is, beating OpenAI’s flagship models for performance as well as price.
devdiscourse22 小时
The next AI leap: LLMs can process multimedia without pre-trained data
A major breakthrough of MILS is its ability to generate highly accurate captions for images, videos, and audio without being ...