Introducing DBRX: A New State-of-the-Art Open LLM

Databricks has created a new state-of-the-art open-source large language model (LLM) called DBRX. DBRX surpasses established open models on various benchmarks, including code, math, and general language understanding. Here's a breakdown of the key points:

What is DBRX?

  •     Transformer-based decoder-only LLM trained with next-token prediction
  •     Fine-grained mixture-of-experts (MoE) architecture (132B total parameters, 36B active parameters)
  •     Pretrained on 12 trillion tokens of carefully curated text and code data
  •     Uses rotary position encodings (RoPE), gated linear units (GLU), and grouped query attention (GQA)
  •     Achieves high performance on long-context tasks and RAG (Retrieval-Augmented Generation)

How does DBRX compare?

  •     Outperforms GPT-3.5 on most benchmarks and is competitive with closed models like Gemini 1.0 Pro
  •     Achieves higher quality scores on code (HumanEval) and math (GSM8k) compared to other open models

Benefits of DBRX

  •     Open-source and available for download and fine-tuning
  •     Efficient training process (4x less compute compared to previous models)
  •     Faster inference compared to similar-sized models due to MoE architecture
  •     Integrates with Databricks tools and services for easy deployment

Getting Started with DBRX

  •     Available through Databricks Mosaic AI Foundation Model APIs (pay-as-you-go)
  •     Downloadable from Databricks Marketplace for private hosting
  •     Usable through Databricks Playground chat interface

Future of DBRX

  •     Expected advancements and new features in the future
  •     DBRX serves as a foundation for building even more powerful and efficient LLMs

Overall, DBRX is a significant development in the field of open LLMs, offering high-quality performance, efficient training, and ease of use.

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