Recall in language models works well with rational and coherent documents, but inserting non sequitur sentences can cause the model to forget information and fail to respond to related prompts. Prompting techniques, such as providing relevant context before asking a question, have been found to improve the model's ability to recall information. This highlights the challenge of comprehensively auditing the capabilities of language models, as they can demonstrate presence but not absence of capabilities.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode