A startup Hippocratic AI, which develops artificial intelligence models for the healthcare sector, has raised $50 million in a larger-than-normal early investment round, indicating that investors are very interested in betting on AI models for particular industries.

General Catalyst and Andreessen Horowitz (A16z), two Silicon Valley venture capital firms, co-led the round, which covered the expense of employing and educating sizable language models since Munjal Shah, an entrepreneur, created Hippocratic earlier this year.

In order to summarise information and produce content, large language models are AI systems that mine enormous volumes of data. They became well-known after ChatGPT, a chatbot based on an OpenAI model, became popular.

Large language models, sometimes referred to as foundation models, are capable of composing essays and producing codes. Hippocratic AI thinks that their model will stand out in healthcare-specific use cases by being trained with extensive medical knowledge and receiving human feedback from healthcare professionals.

Hospitals actively seek out remedies that can be of assistance to them, however they lack nurses. The goal, according to Shah, who previously launched the insurance startup Health IQ, is to create the safest language model for healthcare.