AI/ML claims from 2019

BART introduced in: Lewis et al. 2019 — denoising sequence-to-sequence pretraining.

f5b422e3255fd7c0 · 2 sources · 100% confidence

C4 (Colossal Clean Crawled Corpus) introduced in paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019).

0d24c97977ebd744 · 2 sources · 100% confidence

DistilBERT introduced in: Sanh et al. 2019 — a smaller, faster, cheaper BERT via knowledge distillation.

245af747a3d21061 · 2 sources · 100% confidence

GPT-2 introduced in paper: Language Models are Unsupervised Multitask Learners (Radford et al., 2019).

859551dc078c46f8 · 2 sources · 100% confidence

Milvus vector database publicly released on: 2019-10-15 by Zilliz.

aa5b818bcc5124d7 · 2 sources · 100% confidence

RoBERTa introduced in: Liu et al. 2019 — A Robustly Optimized BERT Pretraining Approach.

d4fecb26a4c9cdca · 2 sources · 100% confidence

SuperGLUE benchmark introduced in paper: SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems (Wang et al., 2019).

1a1e87145608c91a · 2 sources · 100% confidence

T5 (Text-to-Text Transfer Transformer) introduced in paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019).

ef28341c3b308737 · 2 sources · 100% confidence