Learn the fundamental pieces of code needed for building AI agents that can automate workflows, create original content, order pizza, and more.
Discover how TELUS Digital successfully delivered a large-scale 2D and 3D annotation project for training and validating a client’s perception model in the automotive industry.
Explore how TELUS Digital created an off-the-shelf dataset to advance the capabilities of large language models (LLMs).
We evaluated 9 closed-source and 1 open-source speech-to-text models on performance factors such as word error rate, words per minute, and cost.
Learn to safeguard AI training data from fraud with proven security frameworks. Read about threats in crowdsourcing and effective defense strategies.
Our research into chatbot performance using traditional ML shows how input filters increasingly need tailored training data to identify security risks.
Discover how TELUS Digital safeguards AI training data quality through a comprehensive fraud prevention framework.
This case study shows how compound adversarial attacks can be identified using unsupervised learning to overcome limited training data.
Discover how TELUS Digital delivers high-quality, multimodal data to improve your artificial intelligence and machine learning model outcomes.
Discover how TELUS Digital used our proven field operations testing (FOT) experience to create a high-quality dataset for training advanced driver assistance systems (ADAS) and autonomous vehicles (AV).
System prompt exfiltration is among the most alarming of LLM attacks. We propose a definition to make prompt exfiltration attacks easier to identify.
Input filters are a blue teaming operation and essential to building safe, secure LLMs.
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