March Papers: Low-Rank Galore & 1.58-Bit Weights
March was a fruitful month for AI research, with plenty of papers for us to choose from. A trend in the work we’ve selected is the pushing of previously publ...
Recent Posts
February Papers: Longer RoPEs & Better Quantisation
Improving LLM inference is a key research topic at the moment, and something we’re particularly interested in at Graphcore because of its hardware implicatio...
January Papers: Great Teachers & Beyond Chinchilla
For the research community, 2023 was dominated by large transformers and the associated challenges with training, tuning and deploying them. This trend has c...
December Papers: FP8 Training & Simpler Transformers
The last month saw impressive developments in the space of efficient transformers and applied ML, from materials discovery to chip design.
Almost-scaled dot-product attention
TL;DR: Scaled dot product attention isn’t properly scaled, and that’s a good thing!