Databricks has unveiled DBRX, a groundbreaking open-source large language model (LLM) that it asserts establishes a new benchmark for such models. Surpassing established options like GPT-3.5 on industry benchmarks, DBRX, with its 132 billion parameters, claims superiority over popular open-source LLMs such as LLaMA 2 70B, Mixtral, and Grok-1 across various tasks including language understanding, programming, and mathematics. Notably, it even outshines Anthropic’s closed-source model Claude on specific benchmarks.
In coding tasks, DBRX exhibits state-of-the-art performance among open models, surpassing specialized models like CodeLLaMA despite its general-purpose nature. Furthermore, it either matches or exceeds GPT-3.5 across nearly all evaluated benchmarks.
The remarkable capabilities of DBRX are attributed to its more efficient mixture-of-experts architecture, enabling it to achieve up to twice the speed of inference compared to LLaMA 2 70B, despite having fewer active parameters. Databricks asserts that training the model is approximately twice as compute-efficient as dense alternatives.
Ali Ghodsi, Databricks co-founder, and CEO, remarks, “DBRX is setting a new standard for open-source LLMs—it provides enterprises with a platform to develop customized reasoning capabilities based on their data.”
Pretrained on an extensive dataset comprising 12 trillion tokens of meticulously curated text and code, DBRX leverages technologies such as rotary position encodings and curriculum learning during pretraining.
Customers can interact with DBRX through APIs or utilize Databricks’ tools to fine-tune the model using proprietary data. Already integrated into Databricks’ AI products, DBRX holds significant promise for enterprise applications.
Dave Menninger, Executive Director at Ventana Research, states, “Our research indicates that enterprises intend to allocate half of their AI budgets to generative AI. One of the primary challenges they encounter is data security and privacy. With their end-to-end Data Intelligence Platform and the introduction of DBRX, Databricks enables enterprises to develop generative AI applications that are secure, governed, and tailored to their business context, while retaining control and ownership of their intellectual property.”
Partners including Accenture, Block, Nasdaq, Prosus, Replit, and Zoom commend DBRX's potential to expedite enterprise adoption of open, customized large language models. Analysts foresee a transition from closed to open source as finely tuned open models match proprietary performance.
Mike O’Rourke, Head of AI and Data Services at NASDAQ, expresses excitement about the release of DBRX, emphasizing its strong model performance and favorable serving economics, which align with Nasdaq's objectives in expanding the use of generative AI.
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