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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You are probably familiar with traditional databases. For example, a teacher at a school will need to enter students’ grades into a system where they get stored, and at the end of the year the grades would need to be retrieved to create the report card for each student. Or an employee database might store employees’ home addresses, pay grades, start dates, and other crucial information. Traditionally, organisations use a structure called a relational database, where different types of data are stored in different tables, with links between them, and they can be queried using a special language called SQL.
A problem we’ve come across repeatedly is how AI can be used to estimate how much a project will cost, based on information known before the project begins, or soon after it starts. By “project” I mean a large project in any industry, including construction, pharmaceuticals, healthcare, IT, or transport, but this could equally apply to something like a kitchen renovation.
Senior lawyers should stop using generative AI to prepare their legal arguments! Or should they? A High Court judge in the UK has told senior lawyers off for their use of ChatGPT, because it invents citations to cases and laws that don’t exist!
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