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.
Discover how TELUS Digital assisted a leading U.S. autonomous vehicle (AV) developer in refining the scenario comprehension and motion planning capabilities of their AV bot.
Companies are eager to leverage the benefits generative AI (GenAI) offers. Implementing the technology, however, isn't a 'plug-and-play' process. Instead, it hinges on a critical task — fine-tuning a pretrained large language model (LLM) to be a specialist at your intended domain or application.
Learn how to adopt a mindset of continuous evaluation in generative AI, exploring popular benchmarks and AI red teaming methods.
Get curated content delivered right to your inbox. No more searching. No more scrolling.