Generative AI

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  1. Hands typing at a keyboard with superimposed images of a graduation cap, notebook, bullseye and more.
    Generative AI

    The evolution of post-training in the age of reasoning models

    Learn about the process of LLM adaptation — from pre- and post-training refinements to the latest advancements in reinforcement learning algorithms.

  2. Illustration of a human head covered in dots connected by lines, symbolizing neural connections.
    Generative AI

    Effectively 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.

  3. Illustration of a group of individuals looking at a computer monitor.
    Generative AI

    AI 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.

  4. Illustration of various forms fine-tuning methods for large language models, including fine-tuning, prompt engineering, RLHF and RAG. Each of these methods is illustrated with iconography and shown to be connected
    Generative AI

    Fine-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.

  5. Two people and a robot at a table, with the robot shaking one person's hand, all meant to symbolize chatbot empathy
    Generative AI

    How 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.

  6. An illustration of a robot with icons around its head denoting the types of content that can be generated by AI, including, text, voice, video and code.
    Generative AI

    A 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.

  7. Illustration of a robot meant to represent AI, an iceberg labeled as "AI BIAS" and some depictions meant to convey data
    Generative AI

    Five strategies to mitigate bias when implementing generative AI

    Discover five critical strategies for mitigating bias when implementing generative AI into your organization.

  8. Model of a human pondering while looking at the word "AI" meant to symbolize consumer sentiment on generative AI training data
    Generative AI

    Infographic: 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.

  9. Person delivering a presentation, meant to symbolize explainable artificial intelligence
    Generative AI

    Explainable 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.

  10. Illustration of a person with arms raised, suggesting uncertainty, and floating iconography meant to convey choices (different arrows and question marks).
    Generative AI

    How 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.

  11. Single line drawing of the side profile of a head and the term "AI" imposed on a wavy background connoting hallucination
    Generative AI

    Generative 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.

  12. Illustration of friendly robots and smart phones displaying iconography of humans, arrows and support agents, all meant to symbolize generative AI transparency and trust.
    Generative AI

    Generative 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.

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