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Models
Foundation, generative, multimodal and specialised models.
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2024
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Feb 2024
Aya 101
Aya 101 is a 13-billion-parameter, instruction-tuned language model from Cohere For AI that follows instructions in 101 languages. It was released under Apache 2.0 in February 2024.
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Jan 30, 2024
iFlytek Spark V3.5
Spark V3.5 is a large language model that iFlytek released on 30 January 2024. It was the first Spark model trained entirely on the domestic FlyingStar One computing platform, and iFlytek compared it with GPT-4 Turbo.
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Jan 23, 2024
Yi-VL
Yi-VL-34B and Yi-VL-6B are open vision-language models from 01.AI, released on 23 January 2024. They read images and text together and ranked first among open models on the MMMU and CMMMU benchmarks.
2023
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Dec 12, 2023
Phi-2
Phi-2 is a 2.7-billion-parameter base language model from Microsoft Research, announced on 12 December 2023. Microsoft reported that it matched or beat models up to 25 times larger on complex benchmarks, making it a reference point for small-model training.
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Dec 6, 2023
Gemini 1.0 (Ultra, Pro, Nano)
Gemini 1.0 is the first generation of Google DeepMind's multimodal model family, announced on 6 December 2023 in Ultra, Pro and Nano sizes; Google reported its Ultra version as the first model to beat human experts on MMLU.
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Nov 29, 2023
GNoME (Graph Networks for Materials Exploration)
GNoME is a Google DeepMind deep-learning tool, announced on 29 November 2023, that predicts new inorganic crystals; it produced 2.2 million candidate structures, of which 380,000 were predicted to be stable.
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Nov 21, 2023
Stable Video Diffusion
Stable Video Diffusion is Stability AI's image-to-video model, released on 21 November 2023 as a research preview that turns a single still image into a clip of a few seconds.
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Nov 14, 2023
GraphCast
GraphCast is a Google DeepMind machine-learning model that makes global weather forecasts up to 10 days ahead, producing a 10-day forecast in under a minute on a single TPU and outperforming ECMWF's HRES on most tested variables.
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Nov 6, 2023
GPT-4 Turbo
GPT-4 Turbo is a cheaper, more capable version of OpenAI's GPT-4, announced on 6 November 2023 with a 128,000-token context window and lower API prices.
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Oct 17, 2023
Fuyu-8B
Fuyu-8B is a decoder-only multimodal model that Adept open-sourced in October 2023; it drops the image encoder, accepts arbitrary resolutions, and reads screens and charts.
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Sep 25, 2023
GPT-4V (GPT-4 with vision)
GPT-4V is a version of GPT-4 that accepts image input alongside text, documented in OpenAI's system card of 25 September 2023 and released to developers through preview API models; image understanding later became native in GPT-4o.
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Sep 11, 2023
Phi-1.5
Phi-1.5 is a 1.3-billion-parameter language model from Microsoft Research, trained on curated synthetic "textbook" text rather than web crawls; its report claims natural-language performance comparable to models five times larger.
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Aug 24, 2023
Qwen-VL
Qwen-VL is a family of vision-language models released in August 2023 that builds on the Qwen language model to caption images, answer questions about them, locate objects and read text, with open Base and Chat versions.
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Jul 28, 2023
RT-2 (Robotic Transformer 2)
RT-2 is a vision-language-action model from Google DeepMind, announced on 28 July 2023, that turns images and text instructions into robot actions written as text tokens. In over 6,000 trials it reached 62% on unseen scenarios, up from 32% for RT-1.
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Jul 5, 2023
Pangu-Weather
Pangu-Weather is a three-dimensional deep-learning model for medium-range global weather forecasting, published in Nature in 2023; on reanalysis data it produced stronger forecasts than ECMWF's operational system across all tested variables.
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Jun 20, 2023
Phi-1
Phi-1 is a 1.3-billion-parameter Transformer language model for Python from Microsoft Research, which showed that filtered and synthetic "textbook quality" training data can partly substitute for model and data scale.
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May 4, 2023
StarCoder
StarCoder is an open-access code language model of about 15.5 billion parameters, released on 4 May 2023 by the BigCode project led by Hugging Face and ServiceNow.
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Apr 10, 2023
SenseNova
SenseNova is SenseTime's family of foundation models, unveiled on 10 April 2023 with a chatbot, an image generator and an avatar video generator, first offered to government and corporate clients rather than the public.
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Apr 5, 2023
Segment Anything Model (SAM)
The Segment Anything Model (SAM) is a promptable image segmentation model Meta AI released in April 2023. Given a point, a box or a mask, it outlines the object the prompt refers to.
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Mar 14, 2023
GPT-4
GPT-4 is OpenAI's large multimodal model, released on 14 March 2023. It accepts image and text input, scored near the top of human test-takers on a simulated bar exam, and was succeeded by GPT-4 Turbo, GPT-4o and GPT-5.
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Mar 2023
Runway Gen-2
Runway Gen-2 is a multimodal video generation system announced in March 2023 that turns text, images or video clips into new video, and was among the first commercially available text-to-video models.
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Feb 24, 2023
LLaMA
A family of foundation language models from Meta AI, released in 7B to 65B parameter sizes and trained on public data; its 13B model was reported to beat GPT-3 on most benchmarks.
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Feb 6, 2023
Runway Gen-1
Runway Gen-1 is a video-to-video diffusion model released in February 2023 that restyles existing footage from text or image prompts while keeping the source video's structure. It was among the first commercially available video-generation models.
2022
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Dec 13, 2022
RT-1 (Robotics Transformer)
RT-1 is a transformer-based model for real-world robot control, trained on over 130,000 episodes collected with 13 robots and reported to perform more than 700 language instructions at a 97% success rate.
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Sep 21, 2022
Whisper
Whisper is OpenAI's open-source speech recognition system, released in September 2022 and trained on 680,000 hours of audio, which transcribes speech in many languages and translates it into English.
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May 12, 2022
Gato
Gato is a generalist agent from DeepMind, announced on 12 May 2022. A single network with one set of weights handles text, images, Atari games and robot control, aiming at multi-task, multi-embodiment learning.
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Apr 28, 2022
Flamingo
Flamingo is a DeepMind visual language model announced in April 2022. It takes prompts that mix images, videos and text and replies in language, learning new tasks from only a few examples.
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Apr 4, 2022
PaLM
PaLM is a 540-billion-parameter dense Transformer language model announced by Google Research in April 2022, trained with the Pathways system across 6,144 TPU v4 chips; it set strong few-shot results on many benchmarks.
2021
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Oct 11, 2021
Megatron-Turing NLG 530B
Megatron-Turing NLG 530B is a 530-billion-parameter language model announced by NVIDIA and Microsoft on 11 October 2021, then the largest monolithic transformer language model, trained on NVIDIA's Selene supercomputer with Megatron-LM and DeepSpeed combined.
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Jan 5, 2021
CLIP
An image-text model from OpenAI that learns to match pictures with their captions. Trained on about 400 million image-caption pairs, it can classify images by comparing them against written prompts, with no task-specific training.
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Jan 5, 2021
DALL·E
DALL·E is OpenAI's text-to-image model unveiled on 5 January 2021: a 12-billion-parameter transformer trained on 250 million text-image pairs that generates a picture token by token from a caption.
2019
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Nov 19, 2019
MuZero
MuZero is a DeepMind reinforcement-learning algorithm that pairs tree-based search with a learned model. It reached superhuman play in Atari, Go, chess and shogi without being given the environment's rules.
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Oct 23, 2019
T5 (Text-to-Text Transfer Transformer)
T5 is a family of Google Transformer models that recasts every language task as text in, text out. Its 11-billion-parameter version set state of the art on several benchmarks, and the code, models and C4 dataset were released openly.
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Jan 2019
AlphaStar
AlphaStar is a DeepMind system that plays StarCraft II. In 2019 it reached Grandmaster level with all three races, ranking above 99.8% of active players on Battle.net.
2018
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Jun 2018
OpenAI Five
OpenAI Five was a team of five reinforcement-learning bots that played the video game Dota 2; in April 2019 it beat OG, the reigning world champions, in a best-of-three series.
2013
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Dec 19, 2013
Deep Q-Network (DQN)
A DeepMind reinforcement-learning agent that combined Q-learning with a convolutional neural network to play Atari 2600 games straight from raw pixels, reaching human-level performance on many titles without being told the rules.
2011
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Feb 2011
IBM Watson
IBM Watson is a question-answering computer system built by an IBM research team led by David Ferrucci; in February 2011 it defeated the two foremost all-time champions of the televised quiz show Jeopardy!
1997
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May 1997
Deep Blue
IBM's chess computer that in May 1997 became the first computer system to defeat a reigning world chess champion in a match under standard tournament time controls.