File name: Chatgpt Cheat Sheet Pdf Download

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👉Chatgpt Cheat Sheet Pdf Download

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Download a PDF cheat sheet that illustrates the diverse abilities of OpenAI’s ChatGPT for developers and content creators. Learn how to use ChatGPT for text generation, code . CHATGPT ADVANTAGE EXPLAINER Explainer Every consecutive page of this mini e-book features a new use case. Each one consists of 3 basic sections: Prompt – My favorite use . Evaluate and iterate: Assess the output generated by ChatGPT in response to the initial prompt. Modify the prompt as necessary to improve the outcome. For instance: Provide a concise, 3 . Remember, adjusting your prompts and being clear in your instructions will help you get the most accurate and relevant responses from ChatGPT!. Break down the (topic) into smaller, easier-to-understand parts. Use analogies and real-life examples to simplify the concept and makei more relatable. 4. Train it to learn your writing. Analyze the text below for style, voice, and tone. Create a prompt to write a new paragraph in the same style, voice, and tone: [insert your text] 7. 4. Create a text-based Excel sheet to input your copy suggestions. Assume you have 3 members in your UX writing team. The ChatGPT Cheat Sheet C.R.E.A.T.E Formula for Prompt Engineering C: Character - Define the Al's role. E.g., You are a seasoned copywriter with 20 years of experience in successful sales copy. - Be specific with what you need. ChatGPT Cheat Sheet 3 HOSTINGER Three. Two. Online Give the keywords used in [competitor’s post]. Create topic clusters for the [title] blog post/article/topic using the keywords [keyword list]. Create meta tags for the [title] blog post/article/ page. Create a no-follow and canonical for [URL] On-page SEO Generate alt-text for the image about. Remember, adjusting your prompts and being clear in your instructions will help you get the most accurate and relevant responses from ChatGPT!. ChatGPT can intuitively generate plausible completions from few examples, known as few-shot learning. Fine-tuning achieves better results on various tasks without requiring examples in the prompt, saving costs and enabling lower-latency requests.