How RLHF Preference Model Tuning Works (and How Things May Go Wrong)(assemblyai.com)

88 points by dylanbfox 3 years ago | 4 comments

What is residual vector quantization?(assemblyai.com)

39 points by gregdx 3 years ago | 5 comments

The Full Story of Large Language Models and RLHF(assemblyai.com)

84 points by pk3 3 years ago | 16 comments

Teaching LLMs how to solid model(willpatrick.xyz)

300 points by wgpatrick 1 year ago | 101 comments

IBM and NASA build language models to make scientific knowledge more accessible(research.ibm.com)

155 points by rbanffy 2 years ago | 37 comments

Gemma 3 QAT Models: Bringing AI to Consumer GPUs(developers.googleblog.com)

571 points by emrah 1 year ago | 259 comments

Google Developers Blog post announcing Gemma 3 models trained with quantization-aware training so they can run on consumer GPUs.