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Databricks introduced DBRX, a new generative AI model similar to OpenAI's GPT series and Google's Gemini, targeting research and commercial usage. While claimed to be "open source," its accessibility is limited by the need for substantial hardware, essentially nudging users towards Databricks' services. DBRX, which took about $10 million and two months to develop, supposedly excels in various benchmarks but falls short of OpenAI's GPT-4 in several areas. Despite its promises, DBRX's effectiveness and data training transparency remain questionable. This move seems more about drawing users to Databricks' platform than contributing to the open-source community, posing challenges for developers without significant resources and questioning whether the $10M could have been better spent given it has simply developed a lesser version of GPT-4.

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