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Infuzu Chat — All major LLMs, curated by Infuzu AI
Each major LLM has unique strengths and weaknesses. Infuzu’s Intelligent Model Selection finds the best responses between each major LLM, all in one interface. Teach our chatbot what you need and it will learn to be the smartest tool in your kit.
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Yidi Sprei
Maker
📌
I’m very excited to bring Infuzu to launch!
Years ago, I became aware of a growing problem in the AI space – subscription bloat.
So, I created the first version of Infuzu, which consolidated variable costs and multiple subscriptions into a single model.
As that product developed, it became evident we could do more.
That’s how we arrived at this version of Infuzu.
Infuzu uses an Intelligent Model Selection algorithm to determine which LLM will be the best for your specific query and then uses that LLM to answer your question. . This creates a seamless, optimized AI experience. You can now create the highest quality emails, the most well thought-out grocery lists, and the most condensed code all in one interface.
Infuzu is still learning and so am I, but we are excited for the path ahead.
If you sign up using our ProductHunt code, Infuzu Chat is free for the first year for the first 100 users. Sign up from our website and use code PRODUCTHUNT.
Thank you,
Yidi Sprei
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Maker
🚀 We are proud to introduce Infuzu IMS. It is an Intelligent Model Selection algorithm. It gives you the best response from the best LLMs. It does so with cost efficiency in mind and provides great value to our users.
Look out for our promo code, you can find it on our web-site, 1 year of free usage! 🤘
Infuzu Chat is redefining seamless team communication—excited to see its impact on productivity!
Maker
@suryansh_tiwari2 The need to jump between different applications completely goes away with Infuzu Chat! Its impact will be massive!
Will the intelligent Model Selection algorithm evolve over time as new LLMs are released?
Maker
@shemtov_yogi That is an amazing question and the answer is Absolutely YES! That is one of the big benefits of using a system like IMS. We constantly collect more and more training data to make IMS better and when new top LLMs come out, we add them to our list and start collecting preference data on them immediately to be able to provide users with the best possible LLM answer all the time!
