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Foundation, generative, multimodal and specialised models.
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2024
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Sep 19, 2024
Qwen2.5
Qwen2.5 is the Qwen family's September 2024 generation. Its launch included 13 open-weight models, with up to 18 trillion pretraining tokens, 128K context and most models under Apache 2.0.
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Sep 12, 2024
OpenAI o1-mini
o1-mini is a smaller, faster and cheaper reasoning model that OpenAI released on 12 September 2024 alongside o1-preview, trained with reinforcement learning to reason step by step and rated particularly effective at coding.
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Sep 12, 2024
OpenAI o1
OpenAI o1 is the first reasoning model series from OpenAI, introduced in September 2024. It thinks through a long internal chain of thought before answering, and it was the base for later reasoning models such as o3.
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Sep 5, 2024
DeepSeek-V2.5
DeepSeek-V2.5 is a model released on 5 September 2024 that merged DeepSeek's chat and code models into one, keeping both conversational and coding ability while improving safety scores.
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Sep 5, 2024
Yi-Coder
Yi-Coder is a family of open-source code models from 01.AI, released in September 2024 in 1.5B and 9B sizes, each with base and chat versions, covering 52 programming languages with context up to 128K tokens.
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Jul 25, 2024
AlphaProof
AlphaProof is a Google DeepMind reinforcement-learning system that proves mathematical statements in the formal language Lean. At the 2024 International Mathematical Olympiad it solved three problems, and together with AlphaGeometry 2 reached silver-medal level.
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Jul 24, 2024
Mistral Large 2
Mistral AI's second-generation flagship model, released in July 2024 with 123 billion parameters, a 128K-token context window, wide language and code coverage, and weights published under a research license.
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Jul 16, 2024
Mathstral
A 7-billion-parameter model released by Mistral AI on 16 July 2024 for mathematical and STEM reasoning, built on Mistral 7B, openly licensed, and now listed as deprecated.
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Jul 16, 2024
Codestral Mamba
Codestral Mamba is a 7B open code model from Mistral AI, released in July 2024, that swaps the Transformer for the Mamba state-space architecture to get linear-time inference.
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Jun 20, 2024
Claude 3.5 Sonnet
Claude 3.5 Sonnet, released on 20 June 2024, was the first model of the Claude 3.5 family. It ran twice as fast as Claude 3 Opus at the mid-tier price and powered the new Artifacts and Projects features.
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Jun 17, 2024
DeepSeek-Coder-V2
An open-source mixture-of-experts code model from DeepSeek, released in June 2024, that widened language coverage and context length over its predecessor and reported benchmark results above several closed models.
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Jun 13, 2024
OpenVLA
OpenVLA is a 7-billion-parameter open-source vision-language-action model trained on 970,000 real robot demonstrations, released with checkpoints and code so that other groups can fine-tune and run it on their own robots.
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May 29, 2024
Codestral
Codestral is Mistral AI's family of code models, first released in May 2024 as an open-weight 22B-parameter model with a 32K context window, followed by faster and longer-context versions aimed at IDE code completion.
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May 2024
Octo
Octo is an open-source generalist robot policy: a transformer-based diffusion model trained on 800,000 robot trajectories that can drive a range of robots out of the box and be fine-tuned to new setups.
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Apr 24, 2024
Snowflake Arctic
Snowflake's open-weight model with 480 billion total and 17 billion active parameters, built as a dense-MoE hybrid, released in April 2024 under Apache 2.0 and trained for under 2 million dollars.
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Mar 28, 2024
Grok-1.5 and Grok-1.5V
Grok-1.5 is xAI's upgrade to Grok-1, with better reasoning and a 128,000-token context window. Its companion Grok-1.5V was xAI's first multimodal model. Neither model's weights were released publicly.
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Mar 27, 2024
DBRX
DBRX is Databricks' openly licensed large language model, a mixture-of-experts transformer with 132 billion total parameters and 36 billion active per token, announced on 27 March 2024.
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Mar 18, 2024
Project GR00T
NVIDIA's project for a general-purpose foundation model for humanoid robots, announced in March 2024 and followed in March 2025 by Isaac GR00T N1, an open, customizable model released with training data and evaluation scenarios.
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Mar 4, 2024
Claude 3 Opus
Claude 3 Opus, announced on 4 March 2024, was the most capable model in the Claude 3 family. It added vision and launched with a 200K-token context window and a Needle In A Haystack recall above 99%.
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Feb 28, 2024
StarCoder2
StarCoder2 is a family of open code models in 3B, 7B and 15B sizes, released in February 2024 by BigCode (Hugging Face and ServiceNow) with NVIDIA and trained on The Stack v2, published together with its dataset and training code.
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Feb 23, 2024
Genie
A Google DeepMind generative world model with 11 billion parameters that turns text, images or sketches into controllable virtual worlds, described as the first generative interactive environment trained on unlabelled internet videos without action labels.
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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.
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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.
2023
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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.
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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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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 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.
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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
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.
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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.
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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.
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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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 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.
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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.
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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.
2021
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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.
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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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.
2017
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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.
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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.
2016
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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.
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!