Build a Terminator Vision and Voice System with GPT-4V & ElevenLabs

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In this video, we explore how to build a visual detection and understanding system inspired by the Terminator's AI capabilities. We'll leverage GPT-4 Vision to analyze images, identify objects, and generate descriptions, simulating an AI system that can distinguish between humans and potential threats.
In this tutorial, you'll learn:
- How multimodal models work and their advantages in analyzing images and text
- How to set up and utilize GPT-4 Vision to analyze local and online images
- How to refine responses using techniques like few-shot prompts
- How to generate realistic Terminator-style voice responses using Eleven Labs
- How to build a simple project that analyzes images and communicates like the Terminator
By the end of the video, you’ll have created a basic AI system capable of detecting and interpreting scenes in a Terminator-like style.

[@brenordv]

Aesome project! Kudos!
The only thing keeping us from making real time AI with that is money. I imagine It would be super expensive to keep prompting GPT4 turbo. :)

[@delightfulThoughs]

I had an idea of building something like this a long time ago, there is so much potential, but the problem is that the frame rate at which you can feed the model and get an answer back is too low, like 1 frame per second or worse. If we can get 5 to 10 frames per second there will be no limit of what can be built from there.

[@ai-for-devs]

You're right, improving the frame rate would unlock the potential for building more advanced applications. Currently gpt-4v is far away from real-time interactions.

[@delightfulThoughs]

@@ai-for-devs did you miss the Open AI showcase of the new gpt-4o today? I can't believe they just gave gpt-4 realtime vision, and the new voice it's just unbelievable.

[@SeeFoodDie]

I wonder if this could work by playing back the vid on a delay (half or 1/10 speed etc) and then processing it from there. When focusing it on a trigger like a movement or change that could bridge the gap until the models catch up to real time capabilities.

[@williamjustus2654]

Great content!! Would love to see a tutorial using a local vision model and video.