Hina Dixit
Hina is the CEO and Co-founder of Decompute, revolutionizing computational technology for the future. With a robust foundation in Artificial Intelligence, Hina has advanced her expertise through Stanford University, studying under luminaries like Andrew Ng and Fei-Fei Li. Her previous roles include Partner at M12, Microsoft’s Venture Fund, where she spearheaded investments in AI, infrastructure, and gaming. An active investor and advisor, Hina has supported startups like Stability AI, DynamoFL, and Space and Time, driving innovation in AI, Web3, and privacy-preserving technologies. Hina is passionate about empowering diverse voices in technology and enabling groundbreaking AI solutions.
Speaker Sessions
[Panel] Choosing the Right Approach: When to Use Long Context Windows, Fine-Tuning, or Retrieval-Augmented Generation
In this panel, industry experts discuss how developers can choose the right AI technique by comparing long context windows, fine tuning, and retrieval augmented generation based on their project needs. Speakers will cover real world factors such as cost, speed, and accuracy, while highlighting best practices for integrating each approach into existing workflows. Attendees will gain a practical understanding of when to rely on a larger context window, how to tailor models with fine tuning, and ways to incorporate external knowledge through retrieval. The goal is to provide actionable guidance for maximizing AI’s impact without compromising quality or performance.
