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Foundation, generative, multimodal and specialised models.

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2024

  • Feb 8, 2024 SenseNova 4.0

    SenseNova 4.0, announced on 8 February 2024, upgraded SenseTime's model family with 4K, 32K and 128K context versions, specialised models and a first multimodal tool-calling API.

    Large language modelsChinaEnterprise

  • Feb 5, 2024 DeepSeekMath

    DeepSeekMath is a 7B-parameter open language model built for mathematical reasoning and released in 2024. It reached 51.7% on the competition-level MATH benchmark without external tools, and introduced GRPO, a reinforcement-learning algorithm that uses less memory than PPO.

    Large language modelsOpen sourceChina

  • 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.

    Open sourceChinaMultimodal

  • Jan 17, 2024 AlphaGeometry

    AlphaGeometry is a Google DeepMind system that pairs a neural language model with a symbolic deduction engine to solve olympiad geometry problems, reaching near gold-medal level on a benchmark of 30 problems.

    Open sourceReasoningScience

2023

  • Dec 14, 2023 FunSearch

    FunSearch is a method that uses a pretrained large language model inside an evolutionary loop to search for programs that solve mathematical and computational problems, rather than for answers directly. It produced new results on the cap set problem and on online bin packing.

    Deep learningReasoningScience

  • 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.

    Large language modelsOpen sourceReasoning

  • 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.

    Large language modelsConsumer appsFoundation models

  • 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.

    Open sourceMultimodalGenerative models

  • 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.

    Open sourceDeep learningScience

  • 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.

    Large language modelsEnterpriseMultimodal

  • Nov 2, 2023 DeepSeek Coder

    DeepSeek's first model release: a family of open-source code models from 1.3B to 33B parameters, trained from scratch on 2 trillion tokens and reported to beat Codex and GPT-3.5 on several benchmarks.

    Large language modelsOpen sourceChina

  • 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.

    Open sourceAgents & tool useMultimodal

  • 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.

    Large language modelsMultimodalSafety & governance

  • 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.

    Large language modelsOpen sourceReasoning

  • 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.

    Open sourceChinaMultimodal

  • Aug 24, 2023 Code Llama

    Code Llama is a family of coding models that Meta released in August 2023 by further training Llama 2 on code. It ranges from 7 billion to 70 billion parameters and uses the Llama 2 community license.

    Large language modelsOpen sourceDeveloper tools

  • Aug 15, 2023 iFlytek Spark V2.0

    SparkDesk V2.0 is the second version of iFlytek's large language model, launched on 15 August 2023 with upgraded coding and multimodal abilities, and released alongside the iFlyCode 1.0 programming assistant.

    Large language modelsChinaFoundation models

  • 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.

    MultimodalRoboticsComputer vision

  • 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.

    ChinaDeep learningScience

  • 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.

    Large language modelsOpen sourceData & datasets

  • 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.

    Large language modelsOpen sourceData & datasets

  • 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.

    Large language modelsChinaEnterprise

  • 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.

    Large language modelsFoundation modelsMultimodal

  • 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.

    MultimodalGenerative modelsCreative tools

  • 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.

    MultimodalGenerative modelsCreative tools

2022

  • 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.

    Research historyFoundation modelsMultimodal

  • 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.

    Open sourceDeep learningMultimodal

  • 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.

    Research historyAgents & tool useMultimodal

  • 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.

    Large language modelsResearch historyMultimodal

  • 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.

    Large language modelsResearch historyReasoning

  • Mar 15, 2022 GPT-3.5 (text-davinci-002/003)

    GPT-3.5 is the family of OpenAI language models between GPT-3 and GPT-4, released through API models such as text-davinci-002 and text-davinci-003 and underlying the first version of ChatGPT.

    Large language modelsFoundation modelsProduct history

  • Feb 2, 2022 AlphaCode

    AlphaCode is a DeepMind code-generation system for competitive programming, announced in February 2022. On Codeforces contests held after its training data, it reached an estimated rank around the median participant. A Gemini-based AlphaCode 2 followed in December 2023.

    Large language modelsResearch historyCode

2021

  • Jul 7, 2021 OpenAI Codex (2021 model)

    OpenAI Codex is a 2021 GPT language model fine-tuned on public code from GitHub. It translates natural language into code, and was introduced alongside the HumanEval benchmark for testing code correctness.

    Large language modelsResearch historyDeveloper tools

  • 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.

    Open sourceFoundation modelsMultimodal

  • 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.

    MultimodalGenerative modelsCreative tools

2019

  • 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.

    Research historyDeep learningReasoning

  • 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.

    Research historyDeep learningReasoning

2018

2017

  • Dec 5, 2017 AlphaZero

    AlphaZero is a general game-playing system from DeepMind, described in a preprint in December 2017, that reached a superhuman level in chess, shogi and Go within 24 hours starting from random play, using only the rules of each game.

    Research historyDeep learningReasoning

  • Oct 18, 2017 AlphaGo Zero

    A DeepMind Go program that learned the game from scratch by playing against itself, using no human game records, and beat earlier versions of AlphaGo within days.

    Research historyDeep learningReasoning

2016

  • Jan 27, 2016 AlphaGo

    AlphaGo is a Go-playing program from DeepMind that combined deep neural networks with Monte Carlo tree search. In 2016 it beat top professional Lee Sedol in a widely watched match, a landmark for learned systems.

    Research historyDeep learningReasoning

2013

  • 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.

    Research historyDeep learningEurope

2011

  • 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!

    Research historyEnterpriseReasoning