BUILD THE RIGHT LARGE LANGUAGE MODEL FOR YOUR BUSINESS
Custom Large Language Models can be complicated to design, build and integrate.
We help you make the correct technical decisions, build the right Custom LLM solution and then integrate it back into your business workflows
Do you want to keep IP ownership, care about data privacy and your long term costs? Talk to us about how we can solve these issue for you
HOW DO YOU MAKE THE RIGHT CHOICE IN A CUSTOM LARGE LANGUAGE MODEL?
AI now has the ability to understand language and your business data and knowledge bases in ways never thought possible before. There are now millions of ways to use a LLM in your business - but making the right choice can be difficult. Making the wrong choice can cost your business in time, money and wasted opportunity.
So how do you make the right choice?
What are your business goals?
- Do you want to own the IP?
- Do you care about data privacy?
- Do you understand the long term costs?
How does your AI need to perform?
Should the AI be fine tuned to understand the language of your knowledge base or do you just need to retrieve the information?
HOW WE CHOOSE, BUILD AND INTEGRATE THE RIGHT LARGE LANGUAGE MODELS
First, we work to understand specific business use case for your LLM. Then we dive into your data and what you have to work with, to feed the LLM
Design
We design an LLM architecture which considers budget, performance, data availability and system integration requirements
Partner
Then we choose the right LLM from licensed or opensource technologies from one of our partners AWS, NVIDIA or Open AI
Integrate
At the end we choose the right infrastructure between cloud, on premise and hybrid, and integrate the solution back into your business
WE BUILD A SOLUTION THAT STANDS UP TO YOUR BUSINESS CHALLENGES
HOW WE DELIVER
Create a holistic view of a clients' health using Natural Language Processing and Machine Learning to aggregate, clean and analyse historic patient data for better customer profiling and insurance risk assessment.
- Design and build a data pipeline for any data preprocessing needs such as chunking for embeddings
- Build specific Retrieval Augmentation Generation (RAG) pipelines
- Train, fine tune, parameter fine tune, or context learn the model.
- Carry out prompt engineering
- Deploy LLM models to the cloud, on-premise or into a hybrid stack
Contact us to start your AI journey today
A deeply trusted, expert partner
It's never been done before and will change the category."
Smith & Nephew
GSMA
We are the AI partner for business
Let us solve your impossible problem
Speak to one of our industry specialists about how Artificial Intelligence can help solve your impossible problem
