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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. Dragon NaturallySpeaking - Wikipedia

   en.wikipedia.org/wiki/Dragon_NaturallySpeaking

   Dragon NaturallySpeaking uses a minimal user interface. As an example, dictated words appear in a floating tooltip as they are spoken (though there is an option to suppress this display to increase speed), and when the speaker pauses, the program transcribes the words into the active window at the location of the cursor.

4. The Pile (dataset) - Wikipedia

   en.wikipedia.org/wiki/The_Pile_(dataset)

   The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year. [1] [2] It is composed of 22 smaller datasets, including 14 new ones. [1]

5. BERT (language model) - Wikipedia

   en.wikipedia.org/wiki/BERT_(language_model)

   On October 25, 2019, Google announced that they had started applying BERT models for English language search queries within the US. [26] On December 9, 2019, it was reported that BERT had been adopted by Google Search for over 70 languages. [27] [28] In October 2020, almost every single English-based query was processed by a BERT model. [29]

6. AI Testing Mostly Uses English Right Now. That's Risky - AOL

   www.aol.com/ai-testing-mostly-uses-english...

   In the U.S., research has consistently demonstrated that English-as-a-Second-Language (ESL) communities, in this context predominantly Spanish-speaking, are more vulnerable to misinformation than ...

7. Language creation in artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Language_creation_in...

   Although AI seems to be evolving rapidly, it faces many technical challenges. For example, in many cases the language used by AI is very vague, and thus confusing for the user to understand. In addition, there is a "black-box problem" [11] [10] in which there is a lack of transparency and interpretability in the language of AI outputs. In ...