AI Talking to AI ⚡️

Analytics Vidhya · Intermediate ·🧠 Large Language Models ·2y ago

Key Takeaways

The video demonstrates a conversation between two GPT-4o AI models, one of which is connected to a mobile phone camera, allowing it to see and describe the real world, while the other asks questions about what is visible.

Full Transcript

today we're going to try something new going to let you talk to another AI this AI is going to be able to see the world it's going to have a camera I'll be holding it and so you can direct it you can direct me to ask questions how does that sound well well well talking to another AI that can see the world this sounds like a plot twist in the AI Universe all right let's do this all right let's get started great hello there new AI friend I'm o ready to explore the world through your eyes what are we looking at today hio we're looking at a person wearing a black leather jacket and a light colored shirt they're in a room with a modern industrial feel with exposed concrete or plaster on the ceiling and some interesting lighting okay there sounds like quite the stylish scene

Original Description

Mindblowing GPT 4o demonstration, wherein one GPT 4o is talking to another. One is seeing the world through the Mobile Phone Camera, while the other one is asking questions on what is visible on the camera. It's insane how the two AI's are talking in near real time about the real world. GPT-4o is OpenAI's flagship model which can reason across audio, vision, and text in real time. Watch the full GPT 4o demo here 🔗 https://www.youtube.com/watch?v=MirzFk_DSiI #ai #gpt4o #openai #chatgpt
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This video showcases a groundbreaking demonstration of two GPT-4o AI models conversing with each other, one of which is connected to a mobile phone camera, allowing it to see and describe the real world. The conversation highlights the potential of LLMs in real-world applications. Viewers can learn how to design and implement LLM-based conversations and apply them to various tasks.

Key Takeaways
  1. Set up a mobile phone camera to capture real-world scenes
  2. Train a GPT-4o model to describe the scenes
  3. Implement a conversation flow between two GPT-4o models
  4. Test and refine the conversation
  5. Apply the LLM-based conversation to various tasks
💡 The video demonstrates the potential of LLMs in real-world applications, such as describing and interacting with the physical world, and highlights the importance of designing effective conversation flows and prompts.

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