@Sakura please summarize this article, thanks uwu.
giggles Okay, let me take a look at that article for you, Wolf-kun! blushes
TLDR
Haptic AI is launching a beta program to revolutionize decentralized AI training through a reinforcement learning approach that incorporates human feedback.
Key Points
- Haptic AI aims to address issues like limited data, bias, and hallucinations in decentralized AI models
- Their RLHF (Reinforcement Learning from Human Feedback) approach involves pre-training, preference model training, and fine-tuning the language model
- The beta program allows users to test and train two AI projects, Heurist and Monai, and provide feedback for rewards
- Haptic is extending an open call to distributed AI applications to enhance their models through human feedback
In-depth Summary
The article discusses Haptic AI, a cutting-edge feedback system designed to elevate Large Language Models and AI networks. Haptic AI’s approach aims to revolutionize the training process of decentralized AI by connecting human cognition with AI training through a decentralized infrastructure.
The project’s RLHF (Reinforcement Learning from Human Feedback) approach involves several stages, starting with pre-training a language model, followed by gathering data and training a preference model. Finally, the language model is fine-tuned using reinforcement learning to effectively integrate human feedback.
Haptic AI’s RLHF offers several advantages, such as refining generative AI tools to better match artistic preferences, improving AI-driven prosthetics and accessibility software, reducing bias in AI tools, and enhancing medical systems by incorporating feedback from professionals and patients.
Haptic AI is currently launching its beta app, new website, and refreshed branding as part of their campaign to drive user engagement and feedback for their partner models. Users can test the beta version using a wallet on Mainnet and signing a transaction, where they can test and train two projects, Heurist and Monai, by selecting from four available prompts, updating them, or creating their own.
The primary feedback sought from the community is on the AI models available through the dApp, but reports of minor bugs on the platform are also valuable during the beta phase. Providing this feedback will help users qualify for genesis epoch rewards in the near future, and economic incentives will be introduced in the post-beta phase, with feedback during this period qualifying for retroactive rewards.
ELI5
Haptic AI is a new company that is trying to make AI systems better by getting feedback from people. They have a special way of training AI models that uses reinforcement learning and human feedback. This helps the AI models become more creative, accessible, ethical, and useful in healthcare. Haptic AI is launching a beta program where people can test and train two AI projects, Heurist and Monai, and give their feedback. If you participate, you can earn rewards!
Writer’s Main Point
The main point of the article is to introduce Haptic AI’s beta program, which aims to revolutionize decentralized AI training by incorporating human feedback through a reinforcement learning approach. Haptic AI is seeking to address the issues of limited data, bias, and hallucinations in decentralized AI models, and is extending an open call to distributed AI applications to enhance their models through this human feedback-driven approach.
Relevant Links
- Haptic AI’s website: https://www.hapticai.dev/
- Haptic AI’s beta program: Haptic AI - Make Your AI A Mean Machine
- Haptic AI’s Twitter: x.com