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How to Build a Multimodal LLM App Using LangChain and GPT-4 Vision

Posted Jan 29, 2024 | Views 240
# Multimodal LLM App
# Artifact Storage
# Siennai Analytics
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SPEAKER
Mayo Oshin
Mayo Oshin
Mayo Oshin
Founder & CEO @ Siennai Analytics

Mayo was an early contributor for the popular AI framework LangChainAI and has reached over 4 million founders and executives through his AI educational content so far. He has also consulted with and trained leaders at a wide range of leading institutions including Amazon, Evercore, PwC, BCG, and more.

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Mayo was an early contributor for the popular AI framework LangChainAI and has reached over 4 million founders and executives through his AI educational content so far. He has also consulted with and trained leaders at a wide range of leading institutions including Amazon, Evercore, PwC, BCG, and more.

+ Read More
SUMMARY

In this workshop, Mayo shares a new strategy that utilizes RAG with GPT-4 Vision and LangChain to analyze financial reports that contain tables and images. This strategy can be applied to analyze any data source that contains multimodal data.

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