Aditya Rane

Prepare for the ultimate AI showdown at this year’s DataHack Summit! We're bringing together 3 AI experts to tackle one challenging case problem using three of the hottest techniques in the field: Retrieval-Augmented Generation (RAG), Long Context Language Models, Fine-Tuning  and combining these approaches. This is your chance to see these cutting-edge methods go head-to-head and understand their unique strengths and weaknesses.

It offers a rare opportunity to compare and contrast different problem-solving approaches, learn from leading experts, and expand your understanding of how versatile and dynamic the field can be.

Gemini is Google's most capable model. It is built from the ground up for multimodality, seamlessly combining and understanding text, code, images, audio, and video. We begin the session with a coding demo of Gemini's multimodal capabilities using Google Cloud Vertex AI. We also demonstrate building agents using Gemini. We demonstrate context-switching and tool-calling capabilities. We proceed with a demo of Gemini's ability to process large inputs. We conclude the session by building a Multimodal RAG application using Gemini.