Saturday, July 27, 2024

Databricks Launches DBRX, A New Standard for Efficient Open Source Models

Related stories

ECS Names Peter Santighian SVP of Defense

ECS, a leader in advanced technology, science, and engineering...

Australia Builds AI Defenses Against Rising Security Threats

Breaches of critical infrastructure trigger increasing regulation, investments in...
spot_imgspot_img

DBRX empowers organizations to build production-quality generative AI applications efficiently and gives them control over their data

Databricks, the Data and AI company, announced the launch of DBRX, a general purpose large language model (LLM) that outperforms all established open source models on standard benchmarks. DBRX democratizes the training and tuning of custom, high-performing LLMs for every enterprise so they no longer need to rely on a small handful of closed models. Available now, DBRX enables organizations around the world to cost-effectively build, train, and serve their own custom LLMs.

“At Databricks, our vision has always been to democratize data and AI. We’re doing that by delivering data intelligence to every enterprise — helping them understand and use their private data to build their own AI systems. DBRX is the result of that aim,” said Ali Ghodsi, co-founder and CEO at Databricks. “We’re excited about DBRX for three key reasons: first, it beats open source models on state-of-the-art industry benchmarks. Second, it beats GPT-3.5 on most benchmarks, which should accelerate the trend we’re seeing across our customer base as organizations replace proprietary models with open source models. Finally, DBRX uses a mixture-of-experts architecture, making the model extremely fast in terms of tokens per second, as well as being cost effective to serve. All in all, DBRX is setting a new standard for open source LLMs — it gives enterprises a platform to build customized reasoning capabilities based on their own data.”

Also Read: Astronomer Bolsters Leadership Team to Drive Go-To-Market Strategy & Cloud Revenue Growth

DBRX sets a new standard for efficient open source LLMs

DBRX was developed by Mosaic AI and trained on NVIDIA DGX Cloud. Databricks optimized DBRX for efficiency with a mixture-of-experts (MoE) architecture, built on the MegaBlocks open source project. The resulting model has leading performance and is up to twice as compute-efficient as other available leading LLMs.

DBRX sets a new standard for open source models, enabling customizable and transparent generative AI for all enterprises. A recent survey from Andreessen Horowitz found that nearly 60 percent of AI leaders are interested in increasing open source usage or switching when fine-tuned open source models roughly match performance of closed source models. In 2024 and beyond, enterprises expect a significant shift of usage from closed towards open source. Databricks believes DBRX will accelerate this trend.

Organizations benefit from enterprise-grade capabilities with DBRX on the Data Intelligence Platform

Paired with Databricks Mosaic AI’s unified tooling, DBRX helps customers rapidly build and deploy production-quality generative AI applications that are safe, accurate, and governed without giving up control of their data and intellectual property. Customers benefit from built-in data management, governance, lineage and monitoring capabilities on the Databricks Data Intelligence Platform.

SOURCE: PRNewswire

Subscribe

- Never miss a story with notifications


    Latest stories

    spot_img