Good morning! Exciting news in the world of Large Language Models today. But first, let’s check out some other headlines you can’t miss.
🚨 Sam Bankman-Fried, infamous FTX founder, was sentenced to 25 years in prison.
👨💻 Oracle is adding 200+ AI features to NetSuite software.
🎯 Don’t tell SF: New cities have emerged as innovation hotspots as measured by the change in utility patents.
Everyone in the AI space is talking about DBRX this morning, a new open-source LLM from data intelligence platform and AI company, Databricks. It works similarly to OpenAI’s GPT-4, and it’s apparently very good.
A new milestone for open-source AI: Jonathan Frankle (Databricks) "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," writes Will Knight for Wired.
Not only did DBRX outperform Llama 2 (Meta), Mixtral (Mistral), and Grok (X), it got close to GPT-4’s performance “on several scores.”
A win for Databricks: Last July, Databricks acquired MosaicML, an open-source AI startup, for $1.4 billion. The team has since spent about $10 million training DBRX.
Databricks is betting this investment will pay off in its ability to help industries that want to use AI but have had their hands tied because of data security and privacy concerns (e.g. medical and financial companies).
What’s next: DBRX is available on GitHub and Hugging Face for research and commercial use. Databricks will be releasing a blog about how they created the model, which, if done well, will also be a refreshing change from the secretive world of training LLMs.
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