As GenAI projects grow in scale, the need for secure and reliable infra is a must, especially when handling sensitive data. For many teams, this creates a dilemma: they can't use commercial LLMs due to data privacy and ownership concerns, and building their own secure, production-grade infra is too big of a challenge.
What if you could deploy private LLMs in your cloud without all the hassle?
Now you can with Predibase’s Virtual Private Cloud (VPC)—the easy way to customize, serve, and scale LLMs in your VPC while maintaining full control of your data. Join us to learn how to customize open-source LLMs to outperform GPT-4 and deploy in your cloud < 30 minutes, without compromising security.
Discussion Topics:
- The growing need for secure and scalable GenAI infra
- The benefits of deploying your own LLMs within a VPC
- How to ensure data privacy and compliance without sacrificing performance
- How to deliver private personalized LLMs that rival GPT-4 with ease
Featured Speakers:
.png?width=329&height=161&name=Speakers%20(2).png)
