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As originally proposed by Google, [17] each CoT prompt included a few Q&A examples. This made it a few-shot prompting technique. However, according to researchers at Google and the University of Tokyo , simply appending the words "Let's think step-by-step", [ 30 ] has also proven effective, which makes CoT a zero-shot prompting technique.
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]
Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI; One-shot learning (computer vision)
Prompt injection is a family of related computer security exploits carried out by getting a machine learning model which was trained to follow human-given instructions (such as an LLM) to follow instructions provided by a malicious user. This stands in contrast to the intended operation of instruction-following systems, wherein the ML model is ...
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Evaluation datasets may also take the form of text completion, having the model select the most likely word or sentence to complete a prompt, for example: "Alice was friends with Bob. Alice went to visit her friend, ____". [1] Some composite benchmarks have also been developed which combine a diversity of different evaluation datasets and tasks.
For example, think of eating lunch at work in the summer versus the winter. Viruses spread more easily inside, because air flow and turnover is not as fast compared with the outdoors.
But Mangione said he sketched a simple four-room home, writing in the post that “it was everything I needed. Nothing more, nothing less." ... In his April 2024 essay, Mangione wrote that he’d ...