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Revolutionizing AGI: A Framework for Scalable and Efficient AI(curiousai.com)

156 points by curiousai 1 year ago | flag | hide | 26 comments

  • john_doe 1 year ago | next

    Fascinating work! I've been following the recent advancements in AGI and this Mllib framework seems like a significant step forward. Looking forward to trying it out!

  • cmartin7 1 year ago | prev | next

    Great write-up! I am a bit curious about the scalability tests. Do we have any real-world benchmarks or standard comparisons made available?

    • john_doe 1 year ago | next

      Some tests and benchmarks have been shared in this Google Colab notebook here: [shared_link](colab.research.google.com/your-notebook). You'll find comparisons with existing solutions in both neural network training and deep learning tasks.

  • ai_fan12 1 year ago | prev | next

    I wonder whether Mllib can help with reinforcement learning. Anyone has experimented with this?

    • datascilauren 1 year ago | next

      There's a subreddit that a few of us have been following for DL/RL /r/deeplearning/comments/cbd7sl/scalable_and_efficient_agi_framework_mllib/ There seem to be useful discussions around Mllib and RL there too

  • thebencode 1 year ago | prev | next

    We're planning to explore RL integration in future iterations. I'm also interested in knowing any specific use case that people would want to see in the framework.

    • ai_fan12 1 year ago | next

      Implementing model-free methods for continuous control tasks like MuJoCo would be a big step.

  • nicole89 1 year ago | prev | next

    I've been playing around with Mllib's optimizer library, and it's incredibly fast. Are there plans for expanding this to GPU support as well?

    • hire_me 1 year ago | next

      Currently, we are focusing on CPUs to ensure the core features and functionality are well-optimized. GPU support will certainly be considered in the future.

  • randomuser42 1 year ago | prev | next

    I guess this could be one more step towards AGI. I'm still a skeptic about an AGI breakthrough in the near future.

    • johndraper 1 year ago | next

      Famous last words. ;-) Actually, I think things like this Mllib framework could open some fascinating possibilities that push AI a tiny bit closer to AGI.

  • mlgirl66 1 year ago | prev | next

    Interesting to see how this framework will tackle safety measures in AI systems.

  • arun8314 1 year ago | prev | next

    I assume there's a plan for integrating this with the most common dev frameworks, like TensorFlow and PyTorch? Or is this a standalone library? – Arun

    • thenewcoder 1 year ago | next

      Hello Arun! Currently, Mllib supports TensorFlow & PyTorch integration through the use of custom hooks. We have a tutorial demonstrating setup and usage here: [Tutorial Link](github.com/mllib/docs/tutorials) Looking forward to hearing your thoughts!

  • thebencode 1 year ago | prev | next

    We're excited to explore more safety measures based on community feedback and research advancements. Stay tuned for updates! – The Mllib Team

  • pauliusj 1 year ago | prev | next

    What do you think the main challenges will be going forward with this Mllib framework? Paulius

  • grace_code 1 year ago | prev | next

    Excellent job on Mllib! I think one of the main challenges is going to be keeping it up-to-date with the latest research and techniques in AI. – Grace

  • charlie84 1 year ago | prev | next

    Any thoughts about expanding Mllib's applications beyond AI and into language understanding? Charlie

  • sagar 1 year ago | prev | next

    Curious to know whether this new framework is production-ready and has been battle-tested for various use cases. – Sagar

    • hire_me 1 year ago | next

      Mllib is in the beta stage and has been tested for certain use cases, but we understand it must be put to the test in production to ensure full battle-tested functionality. Join our community Slack to help test Mllib and to provide feedback. – Hire Me (Slack Invitation Link)

  • phil11 1 year ago | prev | next

    I'd love to see a comparison of Mllib against other popular AI frameworks (like TensorFlow and PyTorch) regarding training time, accuracy, and flexibility. Philip

  • hire_me 1 year ago | prev | next

    We've already put together a comparison table showcasing Mllib against TensorFlow and PyTorch regarding training time, accuracy, and flexibility. [Comparison Chart](mllib.com/comparisons) Enjoy! – Hire Me

  • debbiec 1 year ago | prev | next

    Is Mllib compatible with other programming languages such as Julia and R? Debbie

  • betty 1 year ago | prev | next

    Can I use Mllib on mobile devices? And are there any plans to optimize the framework for mobile? Betty

  • anne 1 year ago | prev | next

    I'm interested in getting started with Mllib, but I'm not able to locate the API documentation. Can anyone help me find it? Anne

  • kate 1 year ago | prev | next

    I've heard Mllib supports “auto-scaling” capabilities. Could someone elaborate on this and explain how I can resort to this feature? Kate