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BEIT V3

Kosmos-1: A Multimodal Large Language Model (MLLM)

Feb 28, 2023
BEIT V3

VALL-E (X): Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Jan 6, 2023
BEIT V3

A Length-Extrapolatable Transformer

Dec 20, 2022
BEIT V3

Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta Optimizers

Dec 20, 2022
BEIT V3

Promptist - Optimizing Prompts for Text-to-Image Generation

Dec 19, 2022
BEIT V3

Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Dec 12, 2022
BEIT V3

Prompt Intelligence - Extensible Prompts

Dec 2, 2022
BEIT V3

TorchScale - Transformers at (Any) Scale

Nov 24, 2022

Foundation Transformers

October 13, 2022
BEIT V3

BEiT-3: A General-Purpose Multimodal Foundation Model

Aug 30, 2022

Language Models are General-Purpose Interfaces

June 13, 2022

DeepNet: Scaling Transformers to 1,000 Layers

Mar 1, 2022

BEiT: BERT Pre-Training of Image Transformers

June 15, 2021

XLM-E: Efficient Multilingual Language Model Pre-training

June 30, 2021

UniLM: Unified Language Model Pre-training

May 8, 2019
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