Generative AIEffectively applying human intelligence for evolving generative AI training
Discover how high-quality data curated by subject-matter specialists is enhancing large language models' reasoning capabilities and paving the way for agentic AI.
Generative AIAI at work: How employees are using generative AI
Discover the survey results from TELUS Digital that explore how employees are using publicly available GenAI assistants at work.
Generative AIFine-tuning large language models: A primer
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.
Generative AIHow empathy in your large language model can improve your CX
Can a chatbot be empathetic? Discover what empathetic chatbots look like, how're they're trained and the impact they could have on your business.
Generative AIA practical guide to GenAI applications for customer experience management
Learn about some popular customer experience GenAI use cases, and how the technology can help CXM leaders maintain a competitive advantage.
Generative AIFive strategies to mitigate bias when implementing generative AI
Discover five critical strategies for mitigating bias when implementing generative AI into your organization.
Generative AIInfographic: Consumer sentiment on generative AI training data
A recent TELUS Digital survey explored consumer sentiment around the origin and quality of generative AI training data. Take a look at the findings.
Generative AIExplainable AI: A four-step framework for intellectual oversight
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.
Generative AIHow to select a large language model
With so many diverse large language models to choose from, selecting one for your business can be overwhelming. Here are some key factors to consider.
Generative AIGenerative AI hallucinations: Why they occur and how to prevent them
Hallucinations are an obstacle to building user trust in generative AI applications. Learn about the phenomenon, including best practices for prevention.
Generative AIGenerative AI survey results: Customers expect brands to be transparent
A survey conducted by TELUS Digital unveiled consumer concerns about misinformation and bias in generative AI. Learn more.
Generative AIThree ways RLHF is advancing large language models
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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