Tag: NLP
The first AI model that translates 100 languages without relying on English data
The first AI model that translates 100 languages without relying on English data "When translating, say, Chinese to French, previous best multilingual models train on Chinese to English and English to French, because English training data is the …
Google Brain’s SimCLRv2 Achieves New SOTA in Semi-Supervised Learning
Google Brain’s SimCLRv2 Achieves New SOTA in Semi-Supervised Learning Google Brain’s SimCLRv2 Achieves New SOTA in Semi-Supervised Learning "Following on the February release of its contrastive learning framework SimCLR, the same team of Google …
AI Training Method Exceeds GPT-3 Performance with 99.9% Fewer Parameters
AI Training Method Exceeds GPT-3 Performance with 99.9% Fewer Parameters AI Training Method Exceeds GPT-3 Performance with 99.9% Fewer Parameters A team of scientists at LMU Munich have developed Pattern-Exploiting Training (PET), a deep-learni …
What’s new in TensorFlow Lite for NLP
What’s new in TensorFlow Lite for NLP What’s new in TensorFlow Lite for NLP This blog introduces the end-to-end support for NLP tasks based on TensorFlow Lite. It describes new features including pre-trained NLP models, model creation, conversi …
Introducing KILT, a new unified benchmark for knowledge – intensive NLP tasks
Introducing KILT, a new unified benchmark for knowledge - intensive NLP tasks KILT (Knowledge Intensive Language Tasks) is a new unified benchmark to help AI researchers build models that are better able to leverage real-world knowledge to accom …
A robot wrote this entire article. Are you scared yet, human? | GPT-3
A robot wrote this entire article. Are you scared yet, human? | GPT-3 A robot wrote this entire article. Are you scared yet, human? | GPT-3 We asked GPT-3, OpenAI’s powerful new language generator, to write an essay for us from scratch. The ass …
Domain-specific language model pretraining for biomedical natural language processing – Microsoft Research
Domain-specific language model pretraining for biomedical natural language processing - Microsoft Research Domain-specific language model pretraining for biomedical natural language processing - Microsoft Research COVID-19 highlights a perennia …
Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals
Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals …
TaBERT: A new model for understanding queries over tabular data
TaBERT: A new model for understanding queries over tabular data "TaBERT is the first model that has been pretrained to learn representations for both natural language sentences and tabular data. These sorts of representations are useful for natu …
How to generate text: using different decoding methods for language generation with Transformers
How to generate text: using different decoding methods for language generation with Transformers How to generate text: using different decoding methods for language generation with Transformers This blog post gives a brief overview of different …