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Models

Foundation, generative, multimodal and specialised models.

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2024

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 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 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 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

  • Sep 7, 2023 Tencent Hunyuan

    Hunyuan is Tencent's first proprietary large foundation model, unveiled in September 2023 and offered to enterprises through Tencent Cloud. The line was later branded Hy.

    Large language modelsChinaEnterprise

  • 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 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 13, 2023 Amazon Titan

    Amazon Titan is a family of foundation models built by Amazon for Amazon Bedrock, covering text generation, embeddings and image generation. It was announced in 2023 and later succeeded by Amazon Nova.

    Large language modelsEnterpriseCloud

2022

2021

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

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

1997