Tech Talk at the AICamp AI Meetup (London) on AI, Generative AI and Large Language Models (LLMs) Update: you can download the slides from the presentation here
How NLP Enhances Healthcare Delivery and Operations (+ 8 NLP Strategies and 8 Applications) Natural Language Processing (NLP) in healthcare is just what the industry needs.
Natural language processing (NLP) is revolutionising how businesses interact with information. But large language models, or LLMs (also known as generative models or GenAI) can sometimes struggle with factual accuracy and keeping up with real-time information.
The AI ethics debate: does generative AI harm creative industries? What role will AI play in creative industries in the future?
Fast Clinical AI We are developing a natural language processing (NLP) tool, Fast Clinical AI, for identifying risk, cost, recruitment and enrolment criteria, and consent complexities of clinical trials using natural language processing, which can be integrated to data sources from trial management platforms, allowing pharma companies to leverage AI in their operations.
In 2016, the British computer scientist and Turing Award winner Geoffrey Hinton stated: We should stop training radiologists now. It’s just completely obvious that within five years, deep learning is going to do better than radiologists.
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.
We examine the potential influence of machine learning and AI on the legal industry. AI has transformed a number of industries but has not yet had a disruptive impact on the legal industry.
How can we analyse and predict pedestrian (foot traffic) data? In today’s hyperconnected world, our smartphones have become inseparable companions, constantly gathering and transmitting data about our whereabouts and movements.
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