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The company was named after the U+1F917 珞 HUGGING FACE emoji. [1] After open sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning. In March 2021, Hugging Face raised US$40 million in a Series B funding round. [2]
Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [ 2 ]
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [ 1 ] [ 2 ] Like the original Transformer model, [ 3 ] T5 models are encoder-decoder Transformers , where the encoder processes the input text, and the decoder generates the output text.
GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but ChatGPT Plus subscribers have higher usage limits. [2] It can process and generate text, images and audio. [3]
Used in the Sparrow bot. Often cited for its neural scaling law. PaLM (Pathways Language Model) April 2022: Google: 540 [43] 768 billion tokens [42] 29,250 [38] Proprietary Trained for ~60 days on ~6000 TPU v4 chips. [38] As of October 2024, it is the largest dense Transformer published. OPT (Open Pretrained Transformer) May 2022: Meta: 175 [44]
After the gradual rollout, the company said the chatbot would be available in 43 countries and a dozen languages, keeping it on track to become the most used AI assistant in the world by the end ...
Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model trained and created by OpenAI and the fourth in its series of GPT foundation models. [1] It was launched on March 14, 2023, [ 1 ] and made publicly available via the paid chatbot product ChatGPT Plus , via OpenAI's API , and via the free chatbot Microsoft Copilot ...
For one, the new AI chatbot Amazon Q is geared towards business customers and trained on 17 years' worth of data from AWS. In the end, it was all AI, all the time — and it's not just AWS ...