Vijay Raja, Sr. Director of Product Marketing, SingleStore
Abstract:
Enterprises are increasingly starting to harness Large Language Models (LLMs) and foundational models to build new and secure Generative AI applications.
However, the success of your generative AI inititaves relies heavily on choosing the right underlying database and architecture that takes into consideration enterprise scalability, real-time performance, data security, ease of integration, and manageability. So what are the key design considerations to power your Gen AI applications?
In this talk we will dive into:
1. Key design patterns that are emerging for building your Gen AI applications with OpenAI or private LLMs
2. Critical database considerations while building your stack AI applications and use cases
3. Why just having vector capabilities aren’t enough for your modern applications
4. Key use cases and customer examples
