Not Diamond isn’t like other chatbots you’ve used. Not Diamond automatically calls the best model for any prompt and improves in real-time based on your feedback, continuously learning your preferences. Not Diamond is the last chatbot you’ll ever need.
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The feature of providing API access is exciting for developers who want to integrate this technology into their own applications. Are there any restrictions or requirements for using the API?
Congratulations!
@rachel_3 thank you! Our API is super flexible, so you should be able to integrate into almost any AI-powered application you're working with. While the chat app is entirely free to use, our API is free for up to 100,000 routing requests every month 💪
Hey Tomás,
How do you determine which model is best for a given prompt? I'm also curious about the real-time learning. How quickly does it adapt to user preferences?
The arena mode for comparing models head-to-head sounds particularly interesting. Any plans to incorporate this technology into other applications beyond chat?
Congrats on the launch!
Thanks @kyrylosilin , great question. We base model rankings on a rigorous, large, cross-domain dataset that evaluates different LLMs based on message semantics, domain, intent, length, and complexity, and personalization happens immediately in real time. Our team had been publishing in top AI journals for over 10 years, so this is the culmination of a lot of intense research effort!
And 100% on incorporating this into other applications—we actually offer full API access to the underlying Not Diamond model recommendation engine so anyone can build this into their app: www.notdiamond.ai
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This innovative tool offers a range of features like advanced AI-driven communication, real-time collaboration, and seamless integration with various platforms, enhancing productivity and user experience. I'm curious about the security measures in place to protect user data and how the tool ensures privacy.
Could you also share some insights on the scalability of the platform for larger teams or enterprises?
Thanks @chopwood – and those are great questions. On our API, we offer the ability to enhance data privacy by fuzzy hashing all of LLM inputs that are passed through to our API, and LLM requests are made client side so we never see the responses from LLMs. We can also deploy to a customer's local infra for maximum security. We take privacy very seriously. You can see more here: https://notdiamond.readme.io/v1....
Thanks @ramya_pk . While Not Diamond can remember everything from within a particular conversation, it doesn't yet remember across conversations. We're working on that!
Congrats on the launch! I think this is the future trend. Different LLM have their own advantages. It is a very correct choice to assign different questions to the more suitable LLM. However, I want to know if the automatic judgment results really meet the expectations of users. If the results are not good, can users manually switch the LLM?
Thanks @zenda1122 , and that's a great point. Yes, you can manually regenerate with a different model to compare results and upvote if you think it's better—you can see that in the third image in our slideshow.
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