In case you missed the talk about Harmony on Tuesday at Civo Tech Junction with AI and Deep Learning for Enterprise sponsored by Daemon, you can now watch the recording of the live stream on AI|DL’s channel.
October 8th: meetup about Harmony, a free online tool for research using LLMs
Fast Data Science presented the Harmony project at the 19th AI and Deep Learning for Enterprise meetup in London on 8 October 2024! This meetup brings together passionate individuals interested in Artificial Intelligence and Deep Learning for Enterprise applications.
Natural language processing
Harmony is a free online tool that uses generative AI and Large Language Models (LLMs) to help researchers in psychology and the social sciences. It allows researchers to compare items in questionnaires, even those written in different languages. This can be incredibly helpful, for example, for conducting cross-national meta-analyses of multiple longitudinal studies that collected data from diverse populations.
At the meetup, Fast Data Science’s Director, Thomas Wood, will be presenting on Harmony. He’ll dive into:
This meetup is a fantastic opportunity to learn about cutting-edge research in AI and network with other industry professionals.
Fast Data Science is a leading data science consultancy firm providing bespoke machine learning solutions for businesses of all sizes across the globe. With a focus on innovation and collaboration, Fast Data Science empowers businesses to leverage the transformative power of data.
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We are excited to introduce the new Harmony Meta platform, which we have developed over the past year. Harmony Meta connects many of the existing study catalogues and registers.
Guest post by Jay Dugad Artificial intelligence has become one of the most talked-about forces shaping modern healthcare. Machines detecting disease, systems predicting patient deterioration, and algorithms recommending personalised treatments all once sounded like science fiction but now sit inside hospitals, research labs, and GP practices across the world.
If you are developing an application that needs to interpret free-text medical notes, you might be interested in getting the best possible performance by using OpenAI, Gemini, Claude, or another large language model. But to do that, you would need to send sensitive data, such as personal healthcare data, into the third party LLM. Is this allowed?
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