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The company said that PaLM 2, a large language model (LLM) with better linguistic, reasoning, and coding skills, is trained on 100 languages and can carry out a wide range of activities when Google CEO Sundar Pichai unveiled it a few months ago. The AI model will be accessible in Workspace apps, Med-PaLM for medical applications, and Sec-PaLM for security, according to Pichai at the time.
According to a recent report, Google has been testing an AI chatbot that can competently respond to medical-related queries. Med-PaLM 2 has reportedly being tested since April at the Mayo Clinic research facility, a non-profit organisation situated in the US, among other places, according to a story by The Verge (via The Wall Street Journal)
Google believes that the LLM will be useful in areas with "limited access to doctors," according to the report. According to Google's senior director of research Greg Corrado, Med-PaLM 2 is still in its infancy.
Corrado stated that he would not want it to be a part of the "healthcare journey" of his own family; however, he believed that Med-PaLM 2 "takes the places in healthcare where AI can be beneficial and expands them by tenfold."
For what reason Med-PaLM would be better compared to other AI chatbots?
As per Google, Prescription PaLM 2 will be greater at medical services discussions than general talk bots like Troubadour, Bing and ChatGPT. Prescription PaLM is prepared on an organized arrangement of clinical master shows.
The report likewise referenced that the clients who will test Drug PaLM 2 will control their information. The information will likewise be scrambled and research will not approach it.
A report stated this week that Google updated its policy to state that it will use all publicly available data to train Bard and other AI models. Google needs data to train its AI chatbot models.
"Our privacy policy has long been transparent that Google uses publicly available information from the open web to train language models for services like Google Translate," a spokesperson for Google stated.