Introduction Fine tuning is usually framed as “adaptation”. In practice, it can also manufacture shortcuts.
A model can recognize the “right” object …
Blog
Long-form posts and updates from the team.
The decoder block of a Transformer is the basic unit of all modern LLMs. Most of the compute used for it is spent on self-attention and the MLP, with …
Large Language Models (LLMs) took the world by storm in 2023, revolutionizing the way people search and generate text content. LLMs for code have …
This is a sister blogpost to the previous one about a similar scheme (BFV) and it's part of the series that covers fully homomorphic encryption …
Releasing trained models in computer vision and natural language processing has been a major source of progress for the research in these fields and …
Check out our Private Set Intersection (PSI) implementation in Python here!
In this blog post, we will first motivate our interest in PSI, by …
Motivation: We made this blog post as self-contained as possible, even though it was initially thought as a follow-up of this tutorial given by …