Put LLMs under control in your company : AI-Gateway

The emergence of LLMs

Large Language Models (LLMs) open up a broad range of possibilities for delivering business value and they became very trendy lately.

Yet, making powerful Software as a Service (SaaS) and open-source LLMs accessible for these purposes brings about several challenges related to security, costs, and data management.

The answer from MLFlow / Databricks

Databricks answers to this problem introducing AI-Gateway

"The MLflow AI Gateway is a highly scalable, enterprise-grade API gateway that enables organizations to manage their LLMs and make them available for experimentation and production use cases. "(credits Databricks)

The AI Gateway relies on MLFlow AI Gateway the and provides standard REST API for LLM tasks like chat, completions, embeddings...

Link to the MLFlow doc : MLFlow AI Gateway

Link to the Databricks doc : Databricks AI Gateway

Time to draw

Here is a bad scenario of what may be found in a company :

With AI Gateway the pattern looks more like :

In a nutshell

• AI Gateway service streamlines the usage and management of various LLM within organizations.
• It provides a high-level interface for simplified interaction with LLM services through a unified endpoint.
• The centralized management of API keys enhances security by minimizing exposure and preventing the need for end-users to manage keys.
• Flexibility and adaptability allow easy definition and management of routes through configuration, enabling the incorporation of new LLM providers without application changes.
• It is suited for organizations regularly utilizing LLMs due to its simplification, centralization, and security features.

Conclusion

If you are facing increasing LLM usage or demand in your organization it could be a wise idea to consider using AI Gateway.

For more information : [email protected]

Website : https://accure.fr

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