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!
Can AI handle legal questions yet? We have compared the capabilities of the older and newer large language models (LLMs) on English and Welsh insolvency law questions, as a continuation of the Insolvency Bot project.
Unstructured Data in Healthcare with NLP Introduction In today’s digital healthcare landscape, data plays a pivotal role. However, while medical records, patient feedback, and clinical research generate vast amounts of information, not all of it is easy to manage or analyze. In fact, the majority of this data is unstructured, making it difficult for traditional tools to process effectively.
Fine tuning a large language model refers to taking a model that has already been developed, and training it on more data. It’s a way of leveraging the work that has already gone into developing the original model. Fine tuning is often used to adapt a generalist model for a more specific domain, such as mental health, legal, or healthcare, and in this case it’s also referred to as “transfer learning”.
Large language models and neural networks are powerful tools in natural language processing. These models let us achieve near human-level comprehension of complex documents, picking up nuance and improving efficiency across organisations.
On 29 May, Thomas Wood presented a webinar on how AI and Natural Language Processing (NLP) can transform clinical trials in the pharmaceutical industry.
Modelling risk and cost in clinical trials with NLP Fast Data Science’s Clinical Trial Risk Tool Clinical trials are a vital part of bringing new drugs to market, but planning and running them can be a complex and expensive process. A key part of this planning is accurately estimating the cost and risk of a trial. Traditionally, this has involved a team of experts manually sifting through lengthy clinical trial protocols, often hundreds of pages long.
In natural language processing, we have the concept of word vector embeddings and sentence embeddings. This is a vector, typically hundreds of numbers, which represents the meaning of a word or sentence.
Some finance companies have contacted Fast Data Science with a need for a very customised named entity recognition solution. Clients prepare lists of investments which could be funds or companies, and request a check on those companies.
What is NLP in business environments? Natural language processing (NLP) is a branch of AI (Artificial Intelligence), empowering computers to not just understand but also process and generate language in the same way that humans do. A prime example is how Google’s algorithm works to provide relevant results when people enter specific search terms.
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