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10 Critical Steps to Writing ChatGPT Prompts for Beginners. ... Improve the rhyming structure in this poem: [Input text]. Rewrite this paragraph with a [casual] writing style. [Input content].
With ChatGPT came the emergence of a new career path: prompt engineers. These people specialize in developing effective prompts for the AI program -- the quality of responses you will get from ...
As of December 2022, with the release of ChatGPT for free to the public, AI has shown its potential to either massively improve or disrupt Wikipedia. It is clear that research is needed in order to inform discussions surrounding potential AI policies, so I made this page to catalog my observations around ChatGPT and its potential use based on ...
In-context learning, refers to a model's ability to temporarily learn from prompts.For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning.
Here are the top prompts for ChatGPT to help you write your resume. Ask ChatGPT To Create a Custom Resume for a Specific Job The more specific a resume is, the better.
A chatbot (originally chatterbot) [1] is a software application or web interface designed to have textual or spoken conversations. [2] [3] [4] Modern chatbots are typically online and use generative artificial intelligence systems that are capable of maintaining a conversation with a user in natural language and simulating the way a human would behave as a conversational partner.
ChatGPT responded to my direction the expected highlights of such an evening (I've limited this to just the headings to save space): Creating a Sense of Belonging Celebrating Cultural Traditions
The reward model is first trained in a supervised manner to predict if a response to a given prompt is good (high reward) or bad (low reward) based on ranking data collected from human annotators. This model then serves as a reward function to improve an agent's policy through an optimization algorithm like proximal policy optimization. [3] [4] [5]
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