About this episode
AIs built on Large Language Models have wowed by producing particularly fluent text. However, their ability to do this is limited in many languages. As the data and resources used to train a model in a specific language drops, so does the performance of the model, meaning that for some languages the AIs are effectively useless.
Researchers are aware of this problem and are trying to find solutions, but the challenge extends far beyond just the technical, with moral and social questions to be answered. This podcast explores how Large Language Models could be improved in more languages and the issues that could be caused if they are not.
Watch our related video of people trying out ChatGPT in different languages.
Hosted on Acast. See acast.com/privacy for more information.
Get every episode summarized
Each time Nature Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Nature Podcast
Audio long read: Could mending damaged DNA prolong life?
Nature Podcast
Briefing Chat: How Dolly Parton left her mark on science
Nature Podcast
Highest-ever ocean temperatures recorded as El Niño intensifies
Nature Podcast
Briefing Chat: New narcolepsy drug could unlock host of novel brain therapies
Nature Podcast