How To Use GPT-VISION (For Free) with AutoGen Tutorial
AI Summary
Video Summary: Integrating Autogen with Lava on RunPod
- Introduction
- Demonstrates integration of Autogen with Lava.
- Uses RunPod, but can be done locally for free.
- Setting Up RunPod
- Sign up or log in to RunPod.
- Add funds to the account.
- Select a GPU Cloud server (recommended: $0.79/hr).
- Customize deployment with increased disk space (100 GB recommended).
- Choose a template and ensure Jupyter Notebook starts on deployment.
- Installing and Setting Up Lava
- Open web terminal in RunPod.
- Clone the Lava repository to the server.
- Upgrade pip and install the project in editable mode.
- Connect to a Lava controller using provided commands.
- Downloading the Lava Model
- Open a second terminal.
- Download the Lava model using provided commands.
- Setting Up Jupyter Notebook
- Connect to Jupyter Lab in RunPod.
- Install PyAuto and Replicate libraries.
- Configure the connection to the Lava model and set up agents.
- Initiate chat with the image agent from the user proxy.
- Testing the Model
- Describe an Autogen framework image.
- Describe a UML diagram and ask for method names.
- Describe a Where’s Waldo image and attempt object detection.
- Compare images of two dogs and ask which one barks less.
- Costs and Conclusion
- Total cost was less than a dollar for nearly an hour of usage.
- The video serves as a simple example of integrating AI with Lava.
- Additional resources and links provided for further exploration.
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