Building Multimodal Question-Answering (RAG) System with Gemini
Offered By: Open Data Science via YouTube
Course Description
Overview
Explore how to build a multimodal question-answering system for financial analysis using Gemini's 2M context window and multimodal input capabilities in this 53-minute webinar from Open Data Science. Learn to leverage the Vertex Gemini API, Vertex text-embeddings, and Gemini's cross-modal reasoning abilities to create a powerful RAG (Retrieval-Augmented Generation) system. Gain insights into handling text, image, audio, and video inputs for comprehensive financial analysis and question-answering tasks. Discover practical applications of Gemini's advanced features in developing sophisticated AI-powered analytical tools.
Syllabus
ODSC Webinar | Building Multimodal Question-Answering (RAG) system with Gemini
Taught by
Open Data Science
Related Courses
TensorFlow for NLP: Text Embedding and ClassificationCoursera Project Network via Coursera Google Sites Essential Training
LinkedIn Learning 2024 Advanced Machine Learning and Deep Learning Projects
Udemy Intro to Multi-Modal ML with OpenAI's CLIP
James Briggs via YouTube OpenAI Python API Bootcamp: Learn to use AI, GPT, and more!
Udemy