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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Fast Data Science is listed on the UK Government’s Digital Marketplace under the G-Cloud 15 Framework and Digital Outcomes 6. This means
Thomas Wood, director of Fast Data Science, and Dr Bettina Moltrecht of UCL will be appearing at DRIVE-Health, an event hosted at Kings College London, to present Harmony Meta on 24 September 2026.
Fast Data Science are pleased to announce the release Clinical Trial Data Lookup plugin for Google Sheets. It lets you look up data for multiple clinical trials by NCT ID and fills out information such as condition, sponsor, endpoints, or protocol URL in different columns.
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