“We’re very focused on the latter rather than focusing on things that we think are going to be very commoditized … multimodal representations”

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · Your Ranking Model Is Optimizing the Wrong Thing with Zoe Weil

Play from 51:26
51:26

Audio streams from the publisher’s own feed. Verbatim does not host or copy it.

What was described

Prioritize innovation on ranking models over traditional multimodal representation learning

Said nearby on the same subject

“We have done internally... expose traditional machine learning algorithms and models as tools to an LLM... you can have your Python script for a machine learning algorithm and then invoke that”
OS
Omar Santos
Security & GRC Decoded ·
Automation Share this moment
“I learned to sing a traditional Welsh lullaby in English… it’s still a song that I sing most nights to my daughter”
KB
Kate Brown
The Secure Start® Podcast ·
How they work Share this moment
“When I left teaching at 32 and went full-time in entrepreneurship, literally working 15, 16 hours a day ... I prioritized my time to learn and grow at that point in life because I knew it's limited.”
OZ
Omar Zinhome
Financial Audit ·
How they work 15-16 hours per day; ages 20-32 teaching, then full-time entrepreneurs… Share this moment
“We prioritized… a strong pre-training base… then amplified it with reinforcement learning at what we believe to be the largest scale… 10,000 GB-300 for four weeks run documented yet.”
ML
Misha Laskin ReflectionAI
No Priors: Artificial Intelligence | Technology | Startups ·
Automation 10,000 GB-hours, 4 weeks Share this moment

Moments like this, every Monday

The strongest new moments on your topics, in the speakers' own words. Free for three topics.

No card. No password. One-click unsubscribe.

Track a competitor?

Pro watches up to 25 names or phrases and emails you the morning after they are said.

See Pro, $29 a month

Verbatim quotes a short extract and links to the episode; the episode belongs to its publisher. Remove a show.