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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This new video explains natural language processing: what it is, how it works, and what can it do for your organisation. Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that focuses on giving computers the ability to understand human language, combining disciplines like linguistics, computer science, and engineering.

This free A/B test calculator will help you compare two variants of your website, A and B, and tell you the probability that B is better. You can read more about A/B testing in our earlier blog post on the subject. You may also be interested in our Chi-Squared sample size calculator which will help you calculate the minimum sample size needed to run a Chi-Squared test, given an expected standardised effect size.
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