Across a range of standard benchmarks, DBRX sets a new state-of-the-art for established open LLMs. Moreover, it provides the open community and enterprises building their own LLMs with capabilities that were previously limited to closed model APIs.
The results of Databricks's acquisition of MosaicML has arrived — and this is a big deal for the open source LLM competition judging by the performance of the model.
https://www.databricks.com/compa...
The race is on which makes the space even more exciting.
Quick question though, how does an entrant like DBRX compete with the giants in the space? (mind space might be already occupied, right?)
Congratulations on achieving a new state-of-the-art with DBRX!
I'm curious to know how DBRX ensures compatibility and scalability for enterprises integrating it into their systems while maintaining the high standards of performance and efficiency it promises. Excited to learn more about the impact of DBRX on the future of language model development 💯