SyncedReview
Published in

SyncedReview

Meta AI’s LegoNN Builds Decoder Modules That Are Reusable Across Diverse Language Tasks Without Fine-Tuning

Encoder-decoder models have become the preferred approach for a wide range of language-related tasks. Although some common logical functions are shared between different tasks, most contemporary encoder-decoder models are trained end-to-end for a specified task. This specialization increases the compute…

--

--

--

We produce professional, authoritative, and thought-provoking content relating to artificial intelligence, machine intelligence, emerging technologies and industrial insights.

Recommended from Medium

PGDrive Simulator Generates Unlimited Diverse Driving Environments

Natural Language Processing and Procurement

Free (Robot) Hugs! An Embracing Multimodal Dataset

SHAPING THE FUTURE: WHERE THE LINE BETWEEN REAL AND VIRTUAL DISSOLVES

Shaping the future

A machine can create, yet can’t claim its invention ?

Tools for Ethical AI

When you create a digital version of yourself.

Technological advancements in AI promise to put Voice and Chatbots on centre stage

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Synced

Synced

AI Technology & Industry Review — syncedreview.com | Newsletter: http://bit.ly/2IYL6Y2 | Share My Research http://bit.ly/2TrUPMI | Twitter: @Synced_Global

More from Medium

Google Leverages Transformers to Vastly Simplify Neural Video Compression With SOTA Results

How Amazon is Improving BERT-Based Models Used in Alexa

The Art of Pooling Embeddings 🎨

Is Attention Explanation?