Session Outline
Don’t miss this session at the Data 2030 Summit 2024! Join Tarek as he explores how open source data platforms unlock greater flexibility, scalability, and innovation for hosting large language models (LLMs) and driving advanced analytics. Get a deep dive into the platform’s key components and see firsthand how it powers cutting-edge LLMs. Tune in for game-changing insights!
Key Takeaways
- The essential components of an open-source data platform and how they contribute to its capability for hosting large language models (LLMs) and supporting advanced analytics.
- How shifting to an open-source based platform helps overcome issues such as vendor lock-in, high upgrade dependencies, and migration difficulties.
- Key takeaways from the platform’s development, focusing on the importance of iterative progress and staying closely connected with end users for valuable feedback and ongoing improvement.
