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BEIT V3

Kosmos-1: A Multimodal Large Language Model (MLLM)
BEIT V3

VALL-E (X): Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
BEIT V3

A Length-Extrapolatable Transformer
BEIT V3

Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta Optimizers
BEIT V3

Promptist - Optimizing Prompts for Text-to-Image Generation
BEIT V3

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

BEIT V3

Prompt Intelligence - Extensible Prompts

BEIT V3

TorchScale - Transformers at (Any) Scale

Foundation Transformers
BEIT V3

BEiT-3: A General-Purpose Multimodal Foundation Model

Language Models are General-Purpose Interfaces

DeepNet: Scaling Transformers to 1,000 Layers

BEiT: BERT Pre-Training of Image Transformers

XLM-E: Efficient Multilingual Language Model Pre-training

UniLM: Unified Language Model Pre-training