YoVDO

Building Multimodal Question-Answering (RAG) System with Gemini

Offered By: Open Data Science via YouTube

Tags

Gemini Courses Artificial Intelligence Courses Machine Learning Courses Vertex AI Courses Financial Analysis Courses Text Embedding Courses Retrieval Augmented Generation (RAG) Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Better Llama with Retrieval Augmented Generation - RAG
James Briggs via YouTube Live Code Review - Pinecone Vercel Starter Template and Retrieval Augmented Generation
Pinecone via YouTube Nvidia's NeMo Guardrails - Full Walkthrough for Chatbots - AI
James Briggs via YouTube Hugging Face LLMs with SageMaker - RAG with Pinecone
James Briggs via YouTube Supercharge Your LLM Applications with RAG
Data Science Dojo via YouTube