Data pruning helps generative AI developers manage increasingly massive datasets for better performance, lower costs, and more useful analytics.
Discover five critical strategies for mitigating bias when implementing generative AI into your organization.
Discover why TELUS Digital has been named a Leader in Everest Group's Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024.
Navigating the challenges of artificial intelligence through an orchestrated approach
A recent TELUS Digital survey explored consumer sentiment around the origin and quality of generative AI training data. Take a look at the findings.
The Supervisor LLM moderation technique uses one large language model to filter and moderate the content generated by another to prevent harmful outputs.
These 3 real-world examples show how generative AI in healthcare boosts physician productivity, lowers costs, and improves patient outcomes.
AI powers more efficient and intuitive digital healthcare experiences.
Explore how TELUS Digital helped a leading frozen food company maintain a smooth and seamless connection between its SAP application and business intelligence tool using robotic process automation (RPA).
TELUS Digital successfully collected and labeled complex telematics to help advance a client’s safe-driving rewards application program.
A CIA technique called a canary trap helps us detect AI hallucination risk in large language models (LLMs) enhanced with retrieval augmented generation (RAG).
As use of generative AI increases, it's critical to be able to understand how models arrive at the output they do in order to foster trust.
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