Davit Buniatyan
Davit is the Founder of Activeloop, where he is revolutionizing AI infrastructure with Deep Lake, the Database for AI. Through his leadership, Activeloop enables data scientists and organizations to efficiently manage unstructured data and focus on advancing machine learning models. Backed by prominent investors like Y Combinator and 468 Capital, Activeloop is at the forefront of AI innovation. Davit’s academic foundation in computer science from UCL and his Ph.D. journey at Princeton reflect his deep technical expertise and commitment to solving complex challenges in AI. He is passionate about creating tools that empower the AI community.
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.
