Model drift degrades the accuracy of your ML model over time. Discover some best practices for detecting and mitigating it quickly and efficiently.
WillowTree’s approach to benchmarking accuracy of applications with large language models in the loop.
Boost AI reliability by preventing AI hallucinations with WillowTree's three-pronged approach to minimize and mitigate incorrect information produced by LLMs.
AI hallucinations are a reality of working with large language models (LLMs), but a defense-in-depth approach helps reduce generative AI hallucination rates.
High-quality data annotation is critical to the performance of your AI model. Here are four key metrics to consider for measuring annotation accuracy.
Staff augmentation relieves many common problems in data engineering and data science. Learn how TELUS Digital helps businesses properly augment their data teams.
Hallucinations are an obstacle to building user trust in generative AI applications. Learn about the phenomenon, including best practices for prevention.
A survey conducted by TELUS Digital unveiled consumer concerns about misinformation and bias in generative AI. Learn more.
Choosing the best artificial intelligence (AI) consulting company for your business involves diving into each firm’s track record, strategic approach, and more.
Leverage the BigQuery integration for advanced data analysis in Google Analytics 4.
ChatGPT offers strong insights on how to price a product when given quality prompts, but human oversight is still needed to guide complex pricing decisions.
Learn how reinforcement learning from human feedback helps AI models respond to complex human preferences, reduce bias and decrease the occurrence of hallucinations.
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