MedPaLM: New AI Medical Chatbots Will Soon Be Better Than Waiting For A Doctor

Large language models (LLMs), these excitingly versatile algorithms became a topic of general conversation in December 2022, when OpenAI released its GPT3 agent, also known as ChatGPT. LLMs are developed to carry on conversations in human-like ways, they are designed to understand complex queries and respond in a nuanced manner. We introduced potential medical use cases in this article.  By now we all have a track record with some kind of a chatbot – if nothing else, a not-very-bright algorithm at a service provider. These interactions rarely left anyone particularly impressed, they sometimes contribute to solving our problems, but more often than not just result in a frustrated user leaving with a promise of contact from a human support staff member that may or may never happen.  Large language models undoubtedly have changed this field forever, they are capable of such high-quality assistance that was never seen earlier. Only a few short weeks after the release of ChatGPT, Google/DeepMind announced the release of MedPaLM, a large language model specifically designed to answer healthcare-related questions, based on their 540-billion parameter PaLM model. This model was trained on six existing medical Q&A datasets (NedQA, MedMCQA, PubMedQA, LiveQA, MedicationQA, and MMLU), and the developer teams also created their own HealthSearchQA, using questions about medical conditions and the associated symptoms. At the moment MedPaLM can’t be test...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: Artificial Intelligence in Medicine chatbots AI text generator AI in heaalthcare medical chatbots AI chatbots large language models Chat GPT MedPaLM OpenAI Deep mind Source Type: blogs