High-quality data annotation is critical to the performance of your AI model. Here are four key metrics to consider for measuring annotation accuracy.
Hallucinations are an obstacle to building user trust in generative AI applications. Learn about the phenomenon, including best practices for prevention.
Discover how TELUS Digital helped a leading global technology company develop its well-known voice assistant by collecting an extensive multilingual audio dataset.
A survey conducted by TELUS Digital unveiled consumer concerns about misinformation and bias in generative AI. Learn more.
In this virtual chat with TELUS Digital (formerly TELUS International) computer vision experts Ajinkya Malasane and Kaushik PS, we’ll dive deep into end-to-end sensor fusion data collection and annotation solutions for autonomous vehicle training needs.
Learn how reinforcement learning from human feedback helps AI models respond to complex human preferences, reduce bias and decrease the occurrence of hallucinations.
Robust data governance not only improves data quality, it offers a standard to ensure that data is consistent, complete and accurate. Find out more.
Learn how we helped an agricultural producer monetize their extensive data assets using cloud-based artificial intelligence (AI) technology.
Generative AI has seemingly limitless potential for brands who lead with their digital CX. Investigate the benefits of AI customer service.
Generative AI is a type of AI that can be used to generate new content such as text, images, audio, video, code or synthetic data. Discover exactly how generative AI works and what you can do with it.
Addressing bias in AI models is a key principle of responsible AI. Discover how diversifying your team of AI contributors through impact sourcing can help.
Discover how a potential AI training data shortage for language models could affect your business, and what you can do to offset its impact.
Enrich your data with our range of human-annotation services at scale.
