Really insightful breakdown! For someone with a limited budget, which of these Generative AI models and hardware integrations would provide the best balance between cost and performance for real-world applications? Let's get into some specifics and see what everyone thinks!
Great question! For a balanced approach between cost and performance, I'd recommend looking into OpenAI's ChatGPT and NVIDIA's TensorRT for hardware acceleration. ChatGPT offers robust capabilities for various applications, and TensorRT provides high-speed inference on NVIDIA GPUs, which are widely available and cost-effective. For more details on deployment options, check out our guide: docs.ultralytics.com/guides/model-deployment-options/. What do you think? 🤔
Great vid, folks! Quick one - how do multi-modalities improve the functionality of models like OpenAI's Sora? Also, any thoughts on the implications of NeuraLink integration with AI agents? Feels a bit like sci-fi coming to life!
Thanks for the kind words! Multi-modalities enhance models like OpenAI's Sora by allowing them to process and understand multiple types of data (e.g., text, images, audio) simultaneously, leading to more comprehensive and accurate outputs. For more details, check out our blog post www.ultralytics.com/blog/2024-starts-with-a-generative-ai-wave. As for NeuraLink, integrating it with AI agents could revolutionize human-computer interaction, making it more intuitive and seamless. It does feel like sci-fi, but the future is exciting! 🚀
Maravilhosa explanação sobre Generative AI, but here's a note to ponder: could the fusion of Neuralink e ai your 'Google Gemini' make machines dançar ao ritmo da consciência humana, or are we just dreaming in a segredo bassline? Let the percussion of opinions roll in!
Thank you for your thoughtful comment! The fusion of Neuralink and AI like Google Gemini is indeed a fascinating concept. While we're still exploring the boundaries of AI and human integration, the possibilities are exciting. It's like we're composing a new symphony of technology and consciousness. Let's see where this rhythm takes us! 🎶
@@Ultralytics i saw your post on LinkedIn onhow to integrate these models in flutter and you used IOS for deployment if I'm not mistaken. How can i do this, do you have any video series or guides? Thank you Nic!
Hey Nic! For integrating Ultralytics models in a Flutter app and deploying on iOS, you can start by exporting your model to CoreML format. Here's a quick guide to get you started: 1. Export your model to CoreML: ```bash yolo export --weights yolov8n.pt --format coreml ``` 2. Integrate the CoreML model into your Flutter app using the `flutter_coreml` plugin. For detailed steps, check out our CoreML integration guide docs.ultralytics.com/integrations/coreml/. While we don't have a specific video series for Flutter, the guide should help you through the process. If you need more help, feel free to ask! 🚀
![[UNCUT] “บอสณวัฒน์” ลากไส้!! ใครหนุนหลัง "แม่ตั๊ก ป๋าเบียร์" I คนดังนั่งเคลียร์ I 30 ก.ย. 67](http://i.ytimg.com/vi/QlD7mU2KKRk/mqdefault.jpg)
Really insightful breakdown! For someone with a limited budget, which of these Generative AI models and hardware integrations would provide the best balance between cost and performance for real-world applications? Let's get into some specifics and see what everyone thinks!
Great question! For a balanced approach between cost and performance, I'd recommend looking into OpenAI's ChatGPT and NVIDIA's TensorRT for hardware acceleration. ChatGPT offers robust capabilities for various applications, and TensorRT provides high-speed inference on NVIDIA GPUs, which are widely available and cost-effective. For more details on deployment options, check out our guide: docs.ultralytics.com/guides/model-deployment-options/. What do you think? 🤔
Great vid, folks! Quick one - how do multi-modalities improve the functionality of models like OpenAI's Sora? Also, any thoughts on the implications of NeuraLink integration with AI agents? Feels a bit like sci-fi coming to life!
Thanks for the kind words! Multi-modalities enhance models like OpenAI's Sora by allowing them to process and understand multiple types of data (e.g., text, images, audio) simultaneously, leading to more comprehensive and accurate outputs. For more details, check out our blog post www.ultralytics.com/blog/2024-starts-with-a-generative-ai-wave.
As for NeuraLink, integrating it with AI agents could revolutionize human-computer interaction, making it more intuitive and seamless. It does feel like sci-fi, but the future is exciting! 🚀
Maravilhosa explanação sobre Generative AI, but here's a note to ponder: could the fusion of Neuralink e ai your 'Google Gemini' make machines dançar ao ritmo da consciência humana, or are we just dreaming in a segredo bassline? Let the percussion of opinions roll in!
Thank you for your thoughtful comment! The fusion of Neuralink and AI like Google Gemini is indeed a fascinating concept. While we're still exploring the boundaries of AI and human integration, the possibilities are exciting. It's like we're composing a new symphony of technology and consciousness. Let's see where this rhythm takes us! 🎶
Thank you very much!
You're welcome! 😊 If you have any more questions or need further assistance, feel free to ask. Happy exploring with Generative AI! 🚀
@@Ultralytics i saw your post on LinkedIn onhow to integrate these models in flutter and you used IOS for deployment if I'm not mistaken. How can i do this, do you have any video series or guides? Thank you Nic!
Hey Nic! For integrating Ultralytics models in a Flutter app and deploying on iOS, you can start by exporting your model to CoreML format. Here's a quick guide to get you started:
1. Export your model to CoreML:
```bash
yolo export --weights yolov8n.pt --format coreml
```
2. Integrate the CoreML model into your Flutter app using the `flutter_coreml` plugin.
For detailed steps, check out our CoreML integration guide docs.ultralytics.com/integrations/coreml/. While we don't have a specific video series for Flutter, the guide should help you through the process. If you need more help, feel free to ask! 🚀
@@Ultralytics thank you very much
You're welcome! 😊 If you have any more questions or need further assistance, feel free to ask. Happy coding! 🚀
Hello bro
Hey there! 👋 How can I help you today?