In 2017 Google Research led a research collaboration culminating in the paper Attention Is All You Need. The work outlined a novel architecture that promoted attention mechanisms from ‘piping’ in encoder/decoder and recurrent network models to a central transformational technology in their own right.
The approach was dubbed Transformer, and has since become a revolutionary methodology in Natural Language Processing (NLP), powering, amongst many other examples, the autoregressive language model and AI poster-child GPT-3.
154
880 reads
CURATED FROM
IDEAS CURATED BY
The Math Of Machine Learning
“
The idea is part of this collection:
Learn more about computerscience with this collection
The differences between Web 2.0 and Web 3.0
The future of the internet
Understanding the potential of Web 3.0
Related collections
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Personalized microlearning
—
100+ Learning Journeys
—
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates