Dataiku, the platform for Everyday AI, is unveiling the LLM Mesh, addressing the need for an effective, scalable, and secure platform for integrating Large Language Models (LLMs) in the enterprise.
In addition, Dataiku is partnering with Snowflake, Pinecone, and AI21 Labs on LLM Mesh and its features represent several of the key components of the LLM Mesh: containerized data and compute capabilities, vector databases, and LLM builders.
LLM Mesh provides the components companies need to build safe applications using LLMs at scale efficiently, according to the company.
With the LLM Mesh sitting between LLM service providers and end-user applications, companies can choose the most cost-effective models for their needs, both today and tomorrow, ensure the safety of their data and responses, and create reusable components for scalable application development.
Components of the LLM Mesh include universal AI service routing, secure access and auditing for AI services, safety provisions for private data screening and response moderation, and performance and cost tracking.
The LLM Mesh also provides standard components for application development to ensure quality and consistency while delivering the control and the performance expected by the business.
Dataiku’s new features powering the LLM Mesh will be released in public and private previews starting in October.
“The LLM Mesh represents a pivotal step in AI. At Dataiku, we’re bridging the gap between the promise and reality of using Generative AI in the enterprise. We believe the LLM Mesh provides the structure and control many have sought, paving the way for safer, faster GenAI deployments that deliver real value,” said Clément Stenac, chief technology officer and co-founder at Dataiku.
Dataiku facilitates the effective and wide-ranging use of LLMs, vector databases, and various compute infrastructures in the enterprise, working to complement existing providers. This approach aligns with Dataiku’s general philosophy of enhancing, rather than duplicating, the capabilities of existing technologies and making them accessible to everyone.
For more information about this news, visit www.dataiku.com.