Insolvency Bot A bot leveraging LLMs to answer questions about English insolvency law, using Retrieval Augmented Generation (RAG). You can read more in our accompanying blog post.
Image from: harmonydata.ac.uk “Thinking too much” I have been working on the development of Harmony, a tool to help psychology researchers harmonise questionnaire items in plain text across languages so that they can combine datasets from disparate sources.
Insolvency bot, taking into account some statute law and some forms and some case law We have developed a bot using natural language processing to demonstrate the power of legal NLP.
On 7 June, 2023, at 6pm UK time (1pm EDT), we will be presenting in the webinar Dash in Action: Image Processing, Forecasting, NLP.
We’re proud to announce that the Clinical Trial Risk Tool has been selected as a winner of the Plotly Dash Example Apps Challenge (2023), out of 25 amazing apps submitted by the community!
What are artificial neural networks and how do they learn? What do we use them for? What are some examples of artificial neural networks?
We designed the Clinical Trial Risk Tool, a clinical trial risk assessment tool using AI and NLP to quantify the risk of a trial ending uninformatively.
How does Deep Learning work and are we really still in control? Deep Learning models are evolving, as are we Your mobile phone receives an alert.
Would you hire or date this person? There’s a catch: she doesn’t exist! I generated the image in a few seconds using the software StyleGAN.
What is Natural Language Processing? Natural Language Processing (NLP) is the area of artificial intelligence dealing with human language and speech.
How we explain how a neural network can recognise an image? Sometimes as data scientists we will encounter cases where we need to build a machine learning model that should not be a black box, but which should make transparent decisions that humans can understand.