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MLOps.community

Designing for Forward Compatibility in Gen AI // Rohit Agarwal // #189

Nov 10, 2023
01:00:17
Snipd AI
In this podcast, Rohit Agarwal, CEO of Portkey.ai, discusses designing for forward compatibility in Gen AI. He explores advancements in generative AI and the importance of a tooling layer. The podcast also covers the evolving landscape of software engineering tools, the ops layer for Janet Away applications, challenges in using open-source models, the technology stack in app production, the importance of an AI gateway, and the challenges of open-sourcing a product.
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Podcast summary created with Snipd AI

Quick takeaways

  • The importance of an AI gateway in handling error scenarios, load balancing, and routing LLM calls to different models for improved performance and reliability.
  • The significance of data security and compliance in deploying LLMs, including PII anonymization, data residency, and implementing measures to safeguard against unauthorized access and potential financial loss.

Deep dives

High-Level Overview of ML Ops Community Podcast

The podcast episode features an interview with Rohit Agarwal, the founder of Port Quirodei, discussing their approach to ML Ops and the importance of production-grade LLMs. They explore topics like the AI gateway, which is a central component for routing LLM calls, and the four pillars it should have. They also touch on forward compatibility, the challenges of data security and compliance, and the decoupling of the AI gateway from the code. The episode provides insights into building a complete ML Ops stack and the potential of open source contributions to the AI gateway.

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