Above: video of the AICamp meetup in London on 10 December 2024. Harmony starts at 40:00 - the first talk is by Connor Leahy of Conjecture
We have presented the AI tool Harmony at the GenAI and LLMs night at Google London on 10th December organised by AI Camp at Google Cloud Startup Hub.
AI Camp and Google hosted two deep dive tech talks on AI, GenAI, LLMs and machine learning, with food/drink, networking with speakers and fellow developers.
| Topic | Harmony, Open source AI tool for psychology research |
|---|---|
| Speakers | Thomas Wood (Fast Data Science), Dr Bettina Moltrecht (UCL) |
| Date | 10th December 2024 |
| Time | 6pm UK time |
| Location | Google Cloud Startup Hub, 4-5 Bonhill St., London |
| Abstract | In this talk, Thomas Wood and Bettina Moltrecht discuss using generative AI and LLMs to help researchers discover datasets and compare items in questionnaires such as GAD-7 (used to measure anxiety), even when they are written in different languages. |
The other talk in the evening was by Connor Leahy of Conjecture, titled “Cognitive Software and the (near) Future of AI”.
Train your own Large Language Model to parse PDFs and win up to £1000 in vouchers! Join a competition to train a machine learning model to improve Harmony’s PDF parsing. You don’t need to have trained a machine learning model before. Register on DOXA AI Enter the competition on DOXA AI by fine tuning your own model and improve Harmony! Join our Discord Join the Harmony Discord server. Check out the 🏅「matching-challenge」 channel!
Click to view the video of the training session Transforming data management with the Harmony Data Tool: A hands-on introduction We’re excited to be partnering with UK Data Service to deliver a practical workshop on how to best use our tools. The session will take place online on 29 November. With live demonstrations of the Harmony Data Tool’s key functionalities, participants will leave with a clear understanding of how this tool can improve their data management processes which will help improve the efficiency and accuracy of longitudinal data analysis.
