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Natural language processing: The power behind today's large language models
Large language models show incredible capabilities. Learn about the technology behind them and how they came to be the powerful machines they are today.
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Are we headed for an AI data shortage?
Discover how a potential AI training data shortage for language models could affect your business, and what you can do to offset its impact.
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Building a multilingual dataset with high-quality data collection and annotation
Learn how a leading technology client leveraged TELUS Digital’s AI Data Solutions to build a multilingual dataset that helps researchers scale natural language understanding technology.
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Virtual assistant training in 14 languages
Discover how TELUS Digital edits and enhances a leading virtual assistant’s voice grammar framework for one of the world’s largest technology corporations.
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Four types of audio transcription and when to use them
There are a wide variety of audio transcription services. In this article, we’ll help you to figure out which type of audio transcription is best for you.
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Training data is key for natural language processing algorithms
Learn about how data scientists use large volumes of annotated data to improve the decision-making of AI models.
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Five text annotation services for voice assistants
Voice assistants are more prominent than ever. Discover five text annotation services to help you build an industry-leading voice assistant.
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The essential guide to sentiment analysis
In this introduction to sentiment analysis, we discuss what it is, how it works, and offer advice for building a sentiment analysis model.
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The essential guide to entity extraction
Covering everything from the basic makeup of an entity to popular formatting methods, this entity extraction guide will help you with your next AI data project.
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What is natural language processing?
Natural language processing (NLP) is the term used to describe a machine’s ability to interpret and respond to language data. Learn why it is a key AI concept.
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A beginner's guide to sentiment analysis
Sentiment analysis involves classifying the subjective, contextual information within text data. Read our beginner’s guide to learn more.
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The importance of natural language processing for non-English languages
Take a look at why a global approach to NLP is so important for the future of machine learning in non-English languages.
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