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Using LangChain with Multimodal AI to Analyze Images in Financial Reports

Offered By: Chat with data via YouTube

Tags

LangChain Courses Image Processing Courses Financial Analysis Courses Multimodal AI Courses Retrieval Augmented Generation Courses

Course Description

Overview

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Explore a comprehensive workshop on leveraging GPT-4 Vision and LangChain to analyze multimodal data in financial reports. Learn how to implement a novel Retrieval-Augmented Generation (RAG) strategy for processing documents containing diverse data types, including images, text, and tables. Discover techniques for creating and embedding summaries, utilizing vectorstores, and synthesizing answers with multimodal language models. Gain insights into evaluating results with LangSmith, addressing challenges in multimodal RAG, and applying these concepts to real-world financial analysis scenarios. Access accompanying resources, including slides and a Colab notebook, to enhance your understanding and practical application of the presented techniques.

Syllabus

Demo of financial report
Multimodal architecture
Codebase walkthrough
Evaluating results using LangSmith
Showcasing results
Multimodal RAG problems and solutions


Taught by

Chat with data

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