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Generative AI Solutions
Scan has extensive experience working with partners to deliver highly scalable AI solutions for the development of large language models (LLMs) and generative AI projects.
Our Generative AI Solutions
LLMs
Large language models (LLMs) are very large deep learning models that are pre-trained on vast amounts of data. The underlying transformer is a set of neural networks that when trained on such vast amounts have the ability to not only recognise text and image inputs but then generate new content - hence the term generative AI.
Drug Discovery
LLMs and generative AI enables millions of drug candidates to be screened against a rigid protein target. Additionally, GPU-powered molecular dynamics frameworks can simulate the fundamental mechanisms of cells and calculate how strongly a candidate drug will bind to its intended protein target.
Chatbots
AI can be used to develop LLM-based chatbot architectures that can understand the subtle nuances of human language, including synonyms, idiomatic expressions and colloquialisms. This adaptability enables them to handle various user inputs, irrespective of how they phrase their questions, for a more human-like experience.
Foundation Models
AI foundation models (FMs) are large deep learning neural networks that act as the basis for customisation into specifically-focussed LLMs or generative AI models. Developing an FM removes the requirement to do the training stage repeatedly when needing to create numerous related algorithms.
Bespoke Solutions
As the leading AI solution provider in the UK, our experts are on-hand to design, build and deploy custom AI infrastructures to address whatever challenge your organisation may be facing. Our unique proof-of-concept environment ensures any bespoke system can be tried and tested prior to scaling-out.
The Scan AI Difference
Scan AI Ecosystem
Starting to build your infrastructure for generative AI can be complex. Scan makes it simple.
Our unique AI ecosystem enables you to understand what you need at every stage of your AI journey, from initial proof of concept right through to deployed solution. As every generative AI project is different we’re on hand with trusted advice and training services delivered by our expert team.
Scan was the first company in the UK to be awarded NVIDIA's Elite Solution Provider status for DGX Systems in 2017. Since then we have been at the cutting-edge of AI advancement, both for hardware and as a consultant to some of the UK's most important thought-leaders. Scan is one of the only partners that holds Elite status for DGX Cloud, Compute Solutions, NVIDIA AI, Visualisation, Networking and Omniverse making us the number one choice to help you achieve your AI goals.
NVIDIA frameworks accelerate the development of AI models and projects as they remove many of the manual tasks and complexity when first getting started. Every element of the Scan AI Ecosystem can be tailored to get the best from any given framework. Click the options below to explore further.
Case Studies
Frontier Development Lab Europe
Discover how Scan helped FDL Europe develop a foundation model to analyse synthetic aperture radar (SAR) Earth observation data.
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University of Liverpool
Discover how Scan helped the University of Liverpool develop an LLM with the purpose of better mapping and understanding molecules.
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Frontier Development Lab Europe
Discover how Scan helped FDL Europe collate numerous LLMs to interpret information on emerging and historic disasters, to improve response.
Read MoreFAQs
How do I get started in AI?
Get in touch with our experts to discuss your project goals using live chat, contact form or telephone 01204 474210.
I’m not sure about what else might be needed?
Scan has a team of experienced engineers and data scientists who can advise on every element of an AI solution from compute to software, networking and storage.
I don’t see a solution for my requirement
Scan has a wealth of experience in custom building AI solutions for every industry. Get in touch with our experts to discuss your project goals using live chat, contact form or telephone 01204 474210.