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9. Build a custom GPT. If you have a paid ChatGPT plan, you can build custom GPTs that carry out specific actions. For example, if you regularly need to turn a topic into social media captions ...
De Matas also suggests a "user-centered design of the writing process" which prioritizes users over the technology. This "user-centered design" involves two core components. The first is an emphasis on reflective writing which would encourage students to view writing as a process rather than product-based like how ChatGPT can be. The second is ...
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]
These people specialize in developing effective prompts for the AI program — the quality of responses you will get from ChatGPT are only as good as the questions — or prompts — you provide it.
As an alternative, negative prompts allow a user to indicate, in a separate prompt, which terms should not appear in the resulting image. [53] Techniques such as framing the normal prompt into a sequence-to-sequence language modeling problem can be used to automatically generate an output for the negative prompt.
You may have heard about Jackson Greathouse Fall, who asked OpenAI's ChatGPT to give him instructions to turn $100 into "as much money as possible." He followed the chatbot's instructions and ...
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.
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
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