Databricks, an AI data and analytics organization valued at nearly $43 billion, has unveiled DBRX, its latest artificial intelligence model.
This model is designed to help businesses create and manage their own customized AI agents based on their specific data needs.
DBRX expands Databricks’ influence in the competitive AI data-analytics market and reinforces the company’s reputation as a leading industry player.
Databricks asserts that DBRX is more effective than OpenAI’s GPT 3.5, yet not as advanced as the latest GPT model that powers ChatGPT. While it is free as an open-source model, utilizing it within Databricks’ cloud architecture will have costs.
Databricks CEO, Ali Ghodsi, advocates for open-source, arguing the freedom to choose the best tools allows companies to compete based on quality and innovation rather than proprietary constraints.
Founded in 2013, Databricks provides services for data storage, collection, and management.
Databricks unveils DBRX, custom AI analytics model
They gained impressive revenue growth, exceeding $1.6 billion last fiscal year, primarily due to the rise of AI.
Databricks’ client base includes notable companies like Viacom, Shell, and HP, a testament to its industry prominence.
Despite the popularity of products like ChatGPT and Google Gemini among consumers, experts believe the broader benefits of AI technology will be most beneficial to businesses.
Studies indicate the rise in generative AI could contribute up to $4.4 trillion annually to the global economy by automating nearly 70% of business activities across many occupations by 2030.
However, while AI offers immense potential, it also requires careful consideration of ethical and privacy concerns, algorithm transparency, and adequate staff training in its implementation.
About eight months ago, Databricks acquired MosaicML, a generative AI platform, for $1.3 billion. The MosaicML team played a crucial role in the development of DBRX, marking Databricks’ first attempt at creating an in-house model.
This endeavor involved an investment of $10 million and two months of rigorous training on 3,000 Nvidia GPUs. Ghodsi anticipates DBRX will facilitate businesses in constructing high-quality language models at a reduced cost.
