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Tech giant Alibaba is seeking companies to test its Tongyi Qianwen AI chatbot, business publication STAR Market Daily reported on Friday, joining the rush to emulate the explosive success of ChatGPT.The free-to-use ChatGPT, a large language model (LLM) application created by Microsoft-backed OpenAI, was released to the public last November and can generate articles and essays on demand in response to user prompts.Alibaba has opened up registration for businesses to conduct testing for its AI application, STAR Market…

A general introduction to a list of canonical tasks and corresponding datasets to measure your medical natural language processingSource: https://unsplash.com/The field of natural language processing (NLP) has evolved really fast in recent years. Breakthroughs like transformer, BERT, GPT have emerged one after another. Practitioners of all industries are exploring how to leverage the exciting development of NLP in their specific business domains and workflows . One such industry that stands to benefit greatly from the…

A few canonical and research-proven techniques to adapt large language models to domain specific tasks and the intuition of why they are effective.Source: https://unsplash.com/Ever since being popularized by ChatGPT in late 2022, large language models (LLM) have attracted intense interest from the research and industry communities. While general chatbot is an obvious application of large language models, enterprises are thinking about how to integrate large language models into their business workflows to leverage this…

Simple and effective methods — designed for recurrent neural networks — that have stood the test of extensive academic evaluationsImage source: pixabay.comBackgroundA great deal of medical data is, by nature, time series data — cardiogram, temperature monitoring, blood pressure monitoring, regular nurse checkups, and so many more. There is a sea of valuable information embedded in the trends, patterns, spikes and dips of those medical charts, waiting to be uncovered. The healthcare industry calls for effective analysis of…

Simplified illustration based on Google Brain’s “scalable and accurate deep learning with electronic health records” and its supplementary materials.Image source: pixabay.comBackgroundThe healthcare industry started systematically digitizing healthcare data more than a decade ago. The hope is that one day, we’ll be able to harmonize data from disparate sources to form a “longitudinal view” of a patient, which includes everything about the patient’s health, ranging from clinic visit, hospital stay, and medication history…