Exam Invigilation AI: Remote testing with machine learning
Exams have always been the cornerstone of any educational or professional certification process. However, ensuring the integrity of these assessments
Generative AI Solutions
Enhance automation, gain deeper insights, and make more informed data-driven decisions by integrating Large Language Models and Generative AI technologies into your processes.
LLM Fine-Tuning
Domain Adaptation
Optimise your LLM for particular fields or sectors, such the legal, medical, or technological industries. To achieve accuracy and relevance in specific situations, the model must be trained using specialist terminology and ideas.
Bias Reduction
Reducing biases in LLMs is a major concern. Fine-tuning entails modifying the model to lessen underlying biases in the training set, guaranteeing impartial and equal outcomes across a range of events and populations.
Coherence Analysis
Coherence might be a challenge for LLMs when producing lengthier text outputs. The goal of fine-tuning is to increase the model’s utility by boosting its capacity to remain on topic and preserve logical coherence throughout lengthy periods.
LLM Deployment
Scalability
A significant problem is ensuring that LLMs can scale efficiently to meet enormous amounts of requests while maintaining speed and accuracy. We manage computational resources and improve model architecture for various deployment situations.
Integration
There are challenges in integrating LLMs into current procedures and technology infrastructures. We guarantee compatibility across various databases, user interfaces, and software systems, resulting in a smooth and effective integration process.
Privacy and Security
Ensuring the security and privacy of user data is crucial while adopting LLMs, particularly in delicate industries like banking or healthcare. In order to avoid data breaches and adhere to data protection rules, we deploy robust security measures.
LLM Explainability
Understanding the Model
To help you understand how choices are made, we simplify difficult language model procedures. This increases your comfort level when utilising the technology.
Influential Data Points
We examine and clarify which aspects of your data have the most influence on the model’s predictions. You may use this understanding to change inputs and get the desired outcomes.
Meeting Standards
We help you utilise AI ethically by ensuring that the language models are clear and compliant with regulatory requirements for transparency
why partner with us?
you own the IP
We sell exclusive licenses, so that our clients fully own the technology. You pay a once-off fee, instead of an ongoing payment.
you Get Results In 2 Weeks
You will receive measurable results within 2 weeks of starting your AI project.
Your Team Learn AI
Our PhD level engineers not only deploy AI but transfer AI know-how to teams, in order to maintain and nourish AI systems in-house.
notable AI case studies
AI for Education: Revolution in Leaving Certificate
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