Learn about the process of LLM adaptation — from pre- and post-training refinements to the latest advancements in reinforcement learning algorithms.
Discover how high-quality data curated by subject-matter specialists is enhancing large language models' reasoning capabilities and paving the way for agentic AI.
TELUS Digital presents an advanced science, technology, engineering and mathematics (STEM) dataset for fine-tuning large language models. Explore how our meticulously crafted prompt-response pairs enhance AI performance in complex problem-solving, agentic reasoning and scientific applications.
Discover the survey results from TELUS Digital that explore how employees are using publicly available GenAI assistants at work.
Discover how our off-the-shelf science, technology, engineering and mathematics (STEM) dataset contributed to enhancing scientific reasoning and visual processing capabilities in a chatbot model crafted by a leading-edge tech and AI company.
TELUS Digital creates human-aligned datasets to fine-tune and evaluate generative AI models. Explore how this diverse and accurate data can increase your model performance, adaptability and safety.
Explore how TELUS Digital created an off-the-shelf dataset to advance the capabilities of large language models (LLMs).
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.
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.
Learn about some popular customer experience GenAI use cases, and how the technology can help CXM leaders maintain a competitive advantage.
Discover five critical strategies for mitigating bias when implementing generative AI into your organization.
A recent TELUS Digital survey explored consumer sentiment around the origin and quality of generative AI training data. Take a look at the findings.
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