DBRX: Inside the creation of the world’s most powerful open source AI model

DBRX

Startup Databricks just released DBRX, the most powerful open source large language model yet — eclipsing Meta’s Llama 2.

DBRX is an open, general-purpose LLM. 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; according to our measurements, it surpasses GPT-3.5, and it is competitive with Gemini 1.0 Pro. It is an especially capable code model, surpassing specialized models like CodeLLaMA-70B on programming, in addition to its strength as a general-purpose LLM.

Will Knight for Wired:

Databricks will release DBRX under an open source license, allowing others to build on top of its work. Frankle shared data showing that across about a dozen or so benchmarks measuring the AI model’s ability to answer general knowledge questions, perform reading comprehension, solve vexing logical puzzles, and generate high-quality code, DBRX was better than every other open source model available.

It outshined Meta’s Llama 2 and Mistral’s Mixtral, two of the most popular open source AI models available today. “Yes!” shouted Ali Ghodsi, CEO of Databricks, when the scores appeared. “Wait, did we beat Elon’s thing?” Frankle replied that they had indeed surpassed the Grok AI model recently open-sourced by Musk’s xAI, adding, “I will consider it a success if we get a mean tweet from him.”

To the team’s surprise, on several scores DBRX was also shockingly close to GPT-4, OpenAI’s closed model that powers ChatGPT and is widely considered the pinnacle of machine intelligence. “We’ve set a new state of the art for open source LLMs,” Frankle said with a super-sized grin.

Support MacDailyNews at no extra cost to you by using this link to shop at Amazon.

MacDailyNews Take: Congratulations to the Databricks team!

“OpenAI’s closed model.” Heh.

More info about DBRX here.

Please help support MacDailyNews. Click or tap here to support our independent tech blog. Thank you!

Support MacDailyNews at no extra cost to you by using this link to shop at Amazon.

1 Comment

Reader Feedback

This site uses Akismet to reduce spam. Learn how your comment data is processed.