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  2. Whisper (speech recognition system) - Wikipedia

    en.wikipedia.org/wiki/Whisper_(speech...

    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 ]

  3. OpenAI is making ChatGPT and Whisper available to third ... - AOL

    www.aol.com/news/openai-making-chatgpt-whisper...

    On Wednesday, OpenAI announced an API for ChatGPT and Whisper, another one of its products which transcribes speech to text. This means third-party developers will be able to integrate ChatGPT and ...

  4. Researchers say an AI-powered transcription tool used in ...

    www.aol.com/researchers-ai-powered-transcription...

    But Whisper has a major flaw: It is prone to making up chunks of text or even entire sentences, according to interviews with more than a dozen software engineers, developers and academic researchers.

  5. OpenAI open-sources Whisper, a multilingual speech ... - AOL

    www.aol.com/news/openai-open-sources-whisper...

    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 ...

  6. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    As a leading organization in the ongoing AI boom, [6] OpenAI is known for the GPT family of large language models, the DALL-E series of text-to-image models, and a text-to-video model named Sora. [ 7 ] [ 8 ] Its release of ChatGPT in November 2022 has been credited with catalyzing widespread interest in generative AI .

  7. llama.cpp - Wikipedia

    en.wikipedia.org/wiki/Llama.cpp

    llama.cpp is an open source software library that performs inference on various large language models such as Llama. [3] It is co-developed alongside the GGML project, a general-purpose tensor library. [4] Command-line tools are included with the library, [5] alongside a server with a simple web interface. [6] [7]

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