- Published on November 4, 2024
- In AI Startups
Stop Paying for GPT-4o—This YC Startup Offers 4x the Savings
In collaboration with IIT Bombay and IIT Kharagpur, Floworks has released a research paper that dives deep into the sensational claims made by the YC-backed startup earlier this year.
Image by Nalini Nirad
- By Supreeth Koundinya
Floworks, the cloud-based enterprise automation startup, recently released a novel ThorV2 architecture allowing LLMs to perform functions with better accuracy and reliability. The YC-backed company collaborated with IIT Bombay and Kharagpur to build this architecture.
In an interview with AIM earlier this year, Floworks claimed that its AI agent, Alisha, is 100% reliable for tasks involving API calls. Sudipta Biswas, the co-founder of Floworks, said, “Our model, which we are internally calling ThorV2, is the most accurate and the most reliable model out there in the world when it comes to using external tools right now.”
Further, he claimed that ThorV2 was 36% more accurate than OpenAI’s GPT-4o, 4x cheaper, and almost 30% faster in terms of latency.
These sensational
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Supreeth Koundinya
Supreeth is an engineering graduate who is curious about the world of artificial intelligence and loves to write stories on how it is solving problems and shaping the future of humanity.
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