Session: Bird’s eye view of Open-Source AI infrastructure
As we delve deeper into 2023, LLMs and Vector Search are taking center stage. But how can you host your own cost-effective solution, ensuring data sovereignty, security, and preventing unauthorized monetization?
The open-source world offers a plethora of solutions. From various LLMs with different capabilities to a myriad of licenses, the choices can be overwhelming. While some of these tools may be resource-intensive or yield suboptimal results, there’s a silver lining: Retrieval-Augmentation. This approach allows seamless integration of tools like Vector Search, Embedding Models, and diverse databases with an LLM.
Much like how React, Vue, and Angular revolutionized web development, projects such as LangChain and Microsoft Semantic Kernel are bridging the gap for AI app developers by connecting a multitude of AI tools.
Join us as we:
- Provide a comprehensive overview of the current open-source AI ecosystem.
- Delve into the nuances of available tools and frameworks.
- Chart a trajectory for their future evolution, ensuring you’re equipped to make informed, future-proof decisions for your next AI app.
