DBRX

DBRX is Databricks' March 2024 release of a 132B-parameter mixture-of-experts open-weight model — positioned as a high-performance enterprise-friendly alternative to proprietary frontier models. The MoE architecture activates 36B parameters per inference (16 of 132 experts active per token), yielding efficient inference while delivering competitive benchmark performance. At release, DBRX surpassed GPT-3.5 and competed with Mixtral 8x22B and earlier Llama 2 70B on many benchmarks. Released under the Databricks Open Model License with weights on Hugging Face. The model is integrated into Databricks' broader Mosaic AI platform, supporting fine-tuning, RAG, agent development, and production serving within the Databricks ecosystem. Enterprise adoption is strong among Databricks customers building AI features directly inside their data and analytics platform. Real-world deployments include analytics chatbots, document-processing pipelines, and embedded AI features in Databricks-hosted applications. AI governance, AI compliance, and AI risk management programs use DBRX in Databricks-centric deployments supporting responsible AI through data-platform-integrated model serving in enterprise AI environments.

Centralpoint Routes to DBRX Without Lock-In: Oxcyon's Centralpoint AI Governance Platform brokers DBRX alongside OpenAI, Gemini, Claude, Llama, and other embedded models. Centralpoint meters consumption, keeps prompts and skills on-prem, and embeds chatbots into your portals via a single line of JavaScript.


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