<p>Databricks, a leading AI platform, has recently unveiled new capabilities for their Mosaic AI platform. The expansion includes the introduction of the Mosaic AI Agent Framework and AI Gateway, which aim to simplify the development, training, and management of generative AI applications. These additions come as Databricks seeks to compete with industry rival, Snowflake, in the AI market. While Databricks has made significant strides, they still face certain challenges. In addition to these updates, Databricks has also enhanced their Unity Catalog, allowing for better governance of AI tools and functions utilized by LLMs (Langchain or LlamaIndex). Developers can now leverage Langchain and LlamaIndex to create their own AI agents. The Mosaic AI Agent Evaluation and Mosaic AI Model Training have also been launched, offering AI-assisted evaluation and the fine-tuning of models. With the introduction of the Mosaic AI Gateway, users have access to a unified interface for querying, managing, and deploying both open source and proprietary models. These enhancements aim to improve the quality, cost-efficiency, and privacy of AI models, empowering enterprises to build and deploy production-quality Compound AI Systems.</p>


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Databricks has expanded its Mosaic AI platform with new capabilities, including the Mosaic AI Agent Framework and AI Gateway. These additions aim to simplify the development, training, and management of generative AI applications. Databricks faces challenges in the AI market but seeks to improve the quality, cost-efficiency, and privacy of AI models.

Databricks Expands Mosaic AI Platform for Building and Deploying LLMs