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2. Adobe Enhanced Speech - Wikipedia

   en.wikipedia.org/wiki/Adobe_Enhanced_Speech

   Adobe Enhanced Speech is an online artificial intelligence software tool by Adobe that aims to significantly improve the quality of recorded speech that may be badly muffled, reverberated, full of artifacts, tinny, etc. and convert it to a studio-grade, professional level, regardless of the initial input's clarity. [1]

3. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [4]

4. GPT-3 - Wikipedia

   en.wikipedia.org/wiki/GPT-3

   GPT-3 has been used by Jason Rohrer in a retro-themed chatbot project named "Project December", which is accessible online and allows users to converse with several AIs using GPT-3 technology. [43] GPT-3 was used by The Guardian to write an article about AI being harmless to human beings. It was fed some ideas and produced eight different ...

5. List of video editing software - Wikipedia

   en.wikipedia.org/wiki/List_of_video_editing_software

   The following is a list of video editing software. The criterion for inclusion in this list is the ability to perform non-linear video editing. Most modern transcoding software supports transcoding a portion of a video clip, which would count as cropping and trimming. However, items in this article have one of the following conditions:

6. Apple finally added ChatGPT to the iPhone. There's no ... - AOL

   www.aol.com/finance/apple-finally-added-chatgpt...

   Apple says OpenAI won’t get access to your information when you use ChatGPT unless you sign into your free account for the service. At that point, OpenAI’s data policies will apply.

7. Generative pre-trained transformer - Wikipedia

   en.wikipedia.org/wiki/Generative_pre-trained...

   Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.