AI/ML
Generative AI: Advancements, Challenges, and Future Prospects
About This Talk
This session will cover the latest advancements, challenges, and future prospects in the field of generative AI. We will cover topics such as GANs, VAEs, and other generative models, their applications in various domains, and the ethical implications of generative AI. Our panelists will share their experiences and insights into the state of the art and future directions in this rapidly evolving field. The session will include audience Q&A, providing a platform for participants to gain valuable insights from our panelists experiences. Attend this session to gain a better understanding of the advancements and challenges in the field of generative AI.
Speakers
Ankit Jain
Machine Learning Tech Lead
Meta
Meta
Ankit Jain currently works as a machine learning tech lead at Meta where he works on a variety of deep learning problems. Previously, he was a ML researcher at Uber AI where he worked on application of deep learning methods to different problems ranging from food delivery, fraud detection to self-driving cars. He has co- authored a book on machine learning titled TensorFlow Machine Learning Projects. Ankit also teaches AI and machine learning at various boot camps to empower the next generation of technologists. Additionally, he’s been a featured speaker in many of the top AI conferences and universities and has published papers in several top conferences like Neurips, ICLR. He earned his MS from UC Berkeley and BS from IIT Bombay (India).
Igor Joblokov
CEO and Founder
Pryon
Pryon