AWAAI Innovate & Advance with Shyamala Prayaga
Confused when to use RAG vs Finetuning? Well we are bringing the answers to you!
Padmini and I are excited to host Shyamala Prayaga, AI Product Leader at NVIDIA, for our next Asian Women Advancing AI Innovate & Advance Series session: 𝗠𝗼𝗱𝗲𝗹 𝗔𝗱𝗮𝗽𝘁𝗮𝘁𝗶𝗼𝗻: 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 𝘃𝘀 𝗥𝗔𝗚
Which approach actually makes sense and when?
Fine-Tuning vs RAG isn’t just a technical decision anymore.
It’s a strategic one.
And most organizations are still trying to figure out:
👉 Which approach fits their AI goals?
👉 When should you use one over the other?
👉 What are the tradeoffs in cost, scalability, governance, and performance?
In this practical and highly relevant conversation, Shyamala will break down:
🔹 Model adaptation strategies for enterprise AI
🔹 Fine-Tuning vs RAG, strengths, limitations, and use cases
🔹 Real-world implementation insights
🔹 Responsible and scalable AI deployment considerations
Shyamala brings a powerful combination of AI product strategy, responsible AI leadership, and real-world enterprise experience through her work at NVIDIA and Carnegie Mellon University.
And what makes this session especially valuable is that it goes beyond the hype.
AI isn’t just about capability. It’s about the decisions we make while building it.
🚨 This session will NOT be recorded.
Make sure you mark your calendars and join us live.