In this blogpost, we will introduce you to the concept of Matryoshka Embeddings and explain why they are useful.
Content warning : since this blog post is about a red-teaming leaderboard (testing elicitation of harmful behavior in LLMs), some users might find the content of the related datasets or examples…
We recently announced that Gemma , the open weights language model from Google Deepmind, is available for the broader open-source community via Hugging Face.
An update to the Gemma models was released two months after this post, see the latest versions in this collection . Gemma, a new family of state-of-the-art open LLMs, was released today by Google!
In the fast-evolving landscape of Large Language Models (LLMs), building an “ecosystem” has never been more important.
Model merging has quickly become the de-facto standard of pushing the performance limits of large language models.