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Models Released in 2020
Browse every generative AI model released in 2020 — large language models, image generators, code models and more — ordered by release date. Compare their specs and rankings on our benchmarks page, or put any two side by side with compare. See also models from 2019 and models from 2021.
GPT-3 Large
🇺🇸 OpenAI
GPT-3 Medium
🇺🇸 OpenAI
GPT-3 Small
🇺🇸 OpenAI
GPT-3 XL
🇺🇸 OpenAI
iGPT-L
🇺🇸 OpenAI
iGPT-XL
🇺🇸 OpenAI
3-Layer-Tensor-Transformer+AdaHessian
🇺🇸 University of California (UC) Berkeley
6-Layer-Tensor-Transformer+AdaHessian
🇺🇸 "NERSC
GPT-3 175B (davinci)
🇺🇸 OpenAI
GPT3-6.7B (rerun of original)
🇺🇸 Microsoft
DETR
Retrieval-Augmented Generator
rTop-k(distributed setting)
🇺🇸 Stanford University
Specter
🇺🇸 Allen Institute for AI
Conformer
ONLSTM-SYD
🇨🇳 Westlake University
ContextNet
NAS+ESS (156M)
🇨🇳 Northeastern University (China)
NAS+ESS (23M)
🇨🇳 Northeastern University (China)
UnifiedQA
🇺🇸 Allen Institute for AI
Segatron XL base, M=384
🇺🇸 University of Waterloo
Segatron XL large, M=384
🇺🇸 University of Waterloo
Once for All
🇺🇸 MIT-IBM Watson AI Lab
Cube-Space AutoEncoder
🇺🇸 MIT-IBM Watson AI Lab
Go-explore
🇺🇸 Uber AI
DiffStk-MRNN
🇺🇸 Pennsylvania State University
GePpeTto
🇮🇹 ILC-CNR
Agent57
🇬🇧 DeepMind
AraBERT
🇱🇧 American University of Beirut
AraBERT LArge v2
🇱🇧 American University of Beirut
MetNet
ELECTRA
🇺🇸 Stanford University
Tensor-Transformer(1core)+PN (PTB)
🇺🇸 University of California (UC) Berkeley
Tensor-Transformer(1core)+PN (WT103)
🇺🇸 University of California (UC) Berkeley
WDC20 / DLWP
🇺🇸 University of Washington
ProGen
🇺🇸 Salesforce Research
Local Transformer (WT103)
🇺🇸 Google Research
Routing Transformer (WT-103)
🇺🇸 Google Research
TransformerXL + spectrum control
🇺🇸 University of California Los Angeles (UCLA)
MuPIPR
🇺🇸 University of California Los Angeles (UCLA)
LSTM-3-layer+Gadam
🇺🇸 University of Oxford
TCAN (PTB)
🇨🇳 Ant Group
TCAN (WT2)
🇺🇸 Nanjing University
Feedback Transformer
🇺🇸 LORIA
FFN SwiGLU
Turing-NLG
🇺🇸 Microsoft
ALBERT-xxlarge
🇺🇸 Toyota Technological Institute at Chicago
Perceiver IO (optical flow)
🇬🇧 DeepMind
TaLK Convolution
🇨🇦 Carleton University
Theseus 6/768
🇺🇸 University of California San Diego
Meena
🇺🇸 Google Brain
ContextNet + Noisy Student
AlphaFold
🇬🇧 DeepMind
2020 was another fast-moving year for generative AI. The models listed above span large language models (LLMs), image and video generators, code models and more, each with its own parameter count, context window, licensing and availability. To understand how the models of 2020 actually perform, compare their scores on our benchmarks page, and use compare to evaluate any two releases side by side.
Tracking AI by release year makes it easy to see how the frontier moves. Browse AI models from 2019 or AI models from 2021 to compare how capabilities, context windows and open-weights availability evolved year over year.