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Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [ 2 ] It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [ 1 ]
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]
Speech recognition remains a challenging problem in AI and machine learning. In a step toward solving it, OpenAI today open-sourced Whisper, an automatic speech recognition system that the company ...
Announced in 2016, Gym is an open-source Python library designed to facilitate the development of reinforcement learning algorithms. It aimed to standardize how environments are defined in AI research, making published research more easily reproducible [26] [157] while providing users with a simple interface for interacting with these ...
Scientists who used AI to ‘crack the code’ of almost all proteins win Nobel Prize in chemistry Christian Edwards and Katie Hunt, CNN October 9, 2024 at 8:08 AM
This week, leaders across Silicon Valley, Washington D.C., Wall Street, and beyond have been thrown into disarray due to the unexpected rise of the Chinese AI company DeepSeek. DeepSeek recently ...
OpenVINO is an open-source software toolkit for optimizing and deploying deep learning models. It enables programmers to develop scalable and efficient AI solutions with relatively few lines of code. It supports several popular model formats [2] and categories, such as large language models, computer vision, and generative AI.
Open source Platform Written in Interface OpenMP support OpenCL support CUDA support ROCm support [1] Automatic differentiation [2] Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0: Yes Apache Spark Scala Scala, Python No No Yes Yes Yes ...