![]() “With 30 bucks, one server and three hours, we’re able to teach to start doing human-level interactivity,” said Databricks CEO Ali Ghodsi.īut as the efforts to democratize generative AI in an open and transparent way continue, many still vouch for the closed approach, starting with OpenAI - which has not even declared the contents of its training set for GPT-4 - citing competitive landscape and safety implications. H2O’s offerings come more than a month after Databricks, a known lakehouse platform, made a similar move by releasing the code for an open-source large language model (LLM) called Dolly. ![]() However, the Ambati was unwilling to disclose specific customer names at this time. With this significant contribution, all our customers and community will be able to partner with us to make open-source AI and data the most accurate and powerful LLMs in the world.”Ĭurrently, roughly half a dozen enterprises are forking the core H2OGPT project to build their own GPTs. LLMs are far too important to be owned by a few large tech giants and nations. “Open source is about freedom, not just free. H2OGPT and H2O LLM Studio will empower all our customers and communities to make their own GPT to help improve their products and customer experiences,” Ambati said. Users on H2OGPT can also choose from a variety of open models and datasets, see response scores, flag issues and adjust out length, among other things. It’s just like how OpenAI provides ChatGPT but, in this case, the GPT adds a much-needed layer of introspection and interpretability that allows users to ask “why” a certain answer is given. ![]() ![]() Meanwhile, H2OGPT is H2O’s own open-source LLM - fine-tuned to be plugged into commercial offerings. ![]()
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