Agent Chat with Multimodal Models - LLaVA and WizardCoder-13B AutoGen Multi-LLM Agents setup

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In this video, I will demonstrate the seamless integration of AutoGen with the open-source model LLaVA using the Text Gen Web UI. We leverage wizardcoder-13b-python to implement a multi-LLM setup in AutoGen, enhancing its capabilities for building intelligent applications. Explore the versatility of AutoGen, a framework that allows customizable agents to converse with each other and incorporate human input. Learn about LLaVA, a cutting-edge multimodal model with a vision encoder and Vicuna for advanced visual and language understanding. Witness the impressive chat capabilities inspired by the spirits of multimodal GPT-4, and discover how LLaVA achieves a new state-of-the-art accuracy on Science QA. Stay tuned for insights into the future of Conversational AI and the exciting possibilities of multi-LLM setups in AutoGen!

#ai #AutoGen #ConversationalAI #LLaVA #TextGenWebUI #MultimodalModel #AIDevelopment #SmartApplications #ChatCapabilities #GPT4Inspired #ScienceQA #WizardCoder13bPython

Dorai Raj

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Thanks for the video, I've noticed that even when you don't speak in your videos the visualization is really quite descriptive and clear, I like your videos a lot. And regarding suggestions for future videos, you know what, I'd like to see something like document preparation for retrieval, when preparing documentation for RAG I've found out most of my documentation has tables, diagrams, flowcharts, etc. and it is very difficult to convert all these information in text form to do the ingest, if you could show how to deal with it it would be great. And if it's not too much if you could provide some advise on how to short the latency of the responses when using a cpu only, I've started using haystack instead of langchain but LLMs still are very slow in responding. Thanks for your videos Raj.

jorgerios

please fill the missing lines from 3:38 in the context and user prompt

LCJewelers

Hey Getting this error. Do you have the updated notebook?
ERROR: Could not open requirements file: [Errno 2] No such file or directory:

statsnow

Can you use LLava model to read a video file.

Like extract every single frames from the video then use LLava to read them. Then Use tts model to explain what the video is talking about ?

DucNguyen-

Agent Chat with Multimodal Models - LLaVA and WizardCoder-13B AutoGen Multi-LLM Agents setup

Agent Chat with Multimodal Models - LLaVA and WizardCoder-13B AutoGen Multi-LLM Agents setup

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