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Models
Foundation, generative, multimodal and specialised models.
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2024
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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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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 26, 2024
Mistral Large
Mistral Large is the French company Mistral AI's first flagship proprietary large language model, released on 26 February 2024 with a 32K-token context window, native fluency in five languages, and built-in function calling and JSON output.
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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 1, 2024
OLMo
OLMo is the Allen Institute for AI's open language model, released on 1 February 2024 in 1B and 7B sizes with its Dolma training data, training code, logs and checkpoints, all under Apache 2.0.
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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.
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 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 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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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.
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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 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 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.
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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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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.
2022
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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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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!