October Papers: Improving image generation & making LLMs think
This month brought us some exciting developments in improving image-generating models, as well as some interesting insights into how to make large language m...
This month brought us some exciting developments in improving image-generating models, as well as some interesting insights into how to make large language m...
We are pleased to have announce we have open positions for Research Scientists and Engineers to join our team.
We’re pleased to share four papers from different domains: LLM self-correction, FP8 training, generative crystals and optimisation. They are united, somewhat...
With the rapid advances in the capabilities of large language models (LLMs), there is an increasing need for efficient inference platforms that would enable ...
If there’s one thing you can count on from Graphcore Research, it’s tireless enthusiasm for effective compute utilsation! Our favourite papers from August i...