1min snip

Machine Learning Street Talk (MLST) cover image

Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)

Machine Learning Street Talk (MLST)

NOTE

Universal Robustness in Model Instructions

Models may have quirks due to different training data, but they should generally be robust in following instructions universally. The goal is to have prompts work seamlessly across all systems, but currently, prompts that work on one system might fail on another, creating barriers between systems. Efforts are being made to enhance robustness through data augmentation, particularly by using synthetic data to identify and address prompt-related model failures.

00:00

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