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Models Released in 2015
Browse every generative AI model released in 2015 — 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. and models from 2016.
Variational (untied weights, MC) LSTM (Large)
🇨🇳 University of Cambridge
Advantage Learning
🇺🇸 Google DeepMind
BPL
🇺🇸 University of Toronto
ResNet-101 (ImageNet)
🇺🇸 Microsoft
ResNet-152 (ImageNet)
🇺🇸 Microsoft
DeepSpeech2 (English)
🇺🇸 Baidu Research - Silicon Valley AI Lab
SSD
Unknown
Inception v3
Netflix Recommender System
🇺🇸 Netflix
3DDFA
🇨🇳 Chinese Academy of Sciences
Highway Network
🇨🇭 IDSIA
Multi-scale Dilated CNN
🇺🇸 Princeton University
The Attentive Reader
🇺🇸 Google DeepMind
SAF R-CNN
🇨🇳 Beijing Institute of Technology
AlphaGo Fan
🇬🇧 DeepMind
Deep Deterministic Policy Gradients
🇺🇸 Google DeepMind
LSTM-Char-Large
🇺🇸 Harvard University
Listen, Attend and Spell
DCNN
🇺🇸 University of Maryland
Deep CNN + COTS
IEEE
CompACT-Deep
🇺🇸 University of California San Diego
Search-Proven Best LSTM
Skip-Thoughts
🇺🇸 University of Toronto
BatchNorm
CFSS
🇨🇳 SenseTime
Faster R-CNN
🇺🇸 Microsoft Research
Draw
🇺🇸 Google DeepMind
U-Net
🇩🇪 University of Freiburg
Deep LSTM video classifier
🇺🇸 University of Texas at Austin
Fast R-CNN
🇺🇸 Microsoft Research
TC-DNN-BLSTM-DNN
🇺🇸 Carnegie Mellon University (CMU)
genCNN + dyn eval
🇨🇳 Chinese Academy of Sciences
TRPO
🇺🇸 University of California (UC) Berkeley
CRF-RNN
🇺🇸 University of Oxford
MSRA (C, PReLU)
🇺🇸 Microsoft Research
VGG-Face
🇺🇸 University of Oxford
2015 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 2015 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 2016 to compare how capabilities, context windows and open-weights availability evolved year over year.