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Last updated: 08.10.26
Improving speech technologies
How can we prevent gaps and biases in speech systems and technologies?
Learn how speech technologies like voice assistants and transcription tools can be more accurate with modern AI tools, open datasets and inclusive practices.
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Glossary
Large Language Model (LLM)
Machine learning models capable of recognising and generating human language. These models are trained on vast datasets of high-quality human textual communication, often scraped from the web. LLMs rely on a form of machine learning called deep learning, which analyses the probability of various letters, words and sentences appearing together across these enormous datasets to eventually understand their function and relationships. To date, ChatGPT is perhaps the most famous example of a LLM.
View Details ->Machine Learning
A way for computers to learn patterns from examples rather than being explicitly programmed for every rule. By training on data, a machine learning system can classify items, detect anomalies, or predict outcomes. The quality of results depends heavily on the quality, representativeness, and documentation of the training data.
View Details ->Artificial intelligence
Also known as AI, Artificial Intelligence refers to a digital computer's ability to perform processes that typically require human intellect, like complex reasoning, speech recognition or visual interpretation, and learning from experience. AI can also refer to the scientific field dedicated to developing and understanding these abilities in digital agents.
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