Tag: NLP

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Introduction to Natural Language Processing (NLP)
VDTTS: Visually-Driven Text-To-Speech
Imagen: unprecedented photorealism × deep level of language understanding
Google Is Teaching AI to Explain Your Jokes to You
How we delivered IntelliCode whole line completions with a transformer model
8 Popular NLP Methods & Libraries of 2022
Deep Neural Nets: 33 years ago and 33 years from now
WebGPT: Improving the Factual Accuracy of Language Models through Web Browsing
The first high-performance self-supervised algorithm that works for speech, vision, and text
The Quality of Auto-Generated Code
GoEmotions: A Dataset for Fine-Grained Emotion Classification
Introducing Pathways: A next-generation AI architecture
Turing Bletchley: A Universal Image Language Representation model by Microsoft
Deep Learning over the Internet: Training Language Models Collaboratively
Announcing WIT: A Wikipedia-Based Image-Text Dataset
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Model
Microsoft Turing Universal Language Representation model, T-ULRv5, tops XTREME leaderboard and trains 100x faster
Why OpenAI’s Codex Won’t Replace Coders
Transformers4Rec: A flexible library for Sequential and Session-based recommendation
A machine learning approach: Natural Language Processing
Measuring Semantic Changes Using Temporal Word Embedding
The Definitive Guide to Embeddings
Intro to Generative Adversarial Networks (GANs)
Multilingual Spoken Words Corpus

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