Indian healthcare AI startup Jivi ranked world’s finest

Jivi, an Indian healthcare AI startup, co-founded by former BharatPe Chief Product Officer Ankur Jain, and GV Sanjay Reddy, Chairman, Reddy Ventures, has ranked primary on the Open Medical LLM (Massive Language Mannequin) Leaderboard.

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Jivi MedX has crushed established LLMs, together with OpenAI’s GPT-4 and Google’s Med-PaLM 2 with a mean rating of 91.65 throughout the leaderboard’s 9 benchmark classes.

Hosted by main AI platform Hugging Face, the College of Edinburgh, and Open Life Science AI, the leaderboard ranks medical-specific LLMs based mostly on their efficiency in answering medical questions from exams and analysis.

The analysis covers medical exams corresponding to Indian medical entrance exams (AIIMS and NEET), US Medical License Exams (USMLE), and detailed assessments in medical data, medical genetics, {and professional} drugs, amongst others.

Ankur Jain mentioned, Jivi is revolutionising major healthcare via generative AI, making top-quality care accessible 24×7 at a fraction of the fee. Our mission at Jivi, is to harness synthetic intelligence to reinforce affected person care. The platform accelerates diagnostics and ensures increased accuracy, enabling well timed and exact remedy for all, he mentioned.

Jivi presently operates with a lean, 20-member crew of physicians, surgeons, AI engineers, and knowledge scientists. It’s growing know-how to remodel accessibility, affordability, and high quality of healthcare globally.

Sanjay Reddy mentioned, Jivi’s mission, is to make top-of-the-line healthcare accessible to everybody globally. Being the most effective LLM on the planet provides the boldness as the corporate prepares Jivi for over a billion folks.

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Jivi makes use of its giant proprietary medical dataset consisting of thousands and thousands of medical analysis papers, journals, medical notes, and different sources to coach its Jivi MedX LLM. This dataset is among the many largest on the planet. Jivi MedX was skilled utilizing an instruction fine-tuning algorithm referred to as Odds Ratio Choice Optimisation.