DataHour: Multi-Modal RAG and Evaluation with LlamaIndex

With the introduction of multi-modal models like GPT4-V, Fuyu, Llava, and CogVLM, there is a growing interest in exploring multimodal capabilities in RAG. This webinar will focus on building multi-modal RAGs and evaluating them using LlamaIndex. Additionally, we will delve into interesting use cases that can be explored with multi-modal models.

Ravi Theja is an accomplished Data Scientist at Glance-Inmobi, renowned for his expertise in building and deploying cutting-edge machine learning models for recommender systems, NLP applications, and Generative AI. With a Master's degree in Computer Science from IIIT-Bangalore, Ravi has solidified his foundation in the field of data science and artificial intelligence.Throughout his career, Ravi has showcased his exceptional talent and dedication to the field of data science. His valuable contributions as a Data Scientist at Glance-Inmobi have played a pivotal role in developing advanced recommender systems that have significantly improved user experience and engagement. His adeptness in leveraging NLP techniques has enabled the creation of innovative applications that enhance natural language understanding and processing.