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One-Shot Prompting One-shot prompting entails providing an example in the user prompt to guide the LLM towards to desired generated response. In the previous example, ChatGPT deemed that the sentence, "This basketball has a lot of weight" is neutral.

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Zero shot, one shot, and many shot inference methods Providing examples as part of your prompt engineering is a highly effective technique, especially when seeking outputs in a particular format.

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One-shot prompting is used to generate natural language text with a limited amount of input data such as a single example or template. One-shot prompting can be combined with other natural language processing techniques like dialogue management and context modeling to create more sophisticated and effective text generation systems.

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Forge reliable one-shot prompts and supercharge your apps and workflows with generative AI. Get started Watch demo One prompt, all LLMs - full list "The hottest new programming language is English." - Andrej Karpathy Dashboard Prompts Augment Apps and Services with AI

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Feb 10, 2021 - Explore Maria Haggart's board "One-Shot Prompts" on Pinterest. See more ideas about writing promts, prompts, writing promps.

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It has jewelry on it, usually your favorite styles. It will also act like a pet of sorts, although it is quite intelligent, like either a younger or older sibling. Whenever you ask, it will send a letter ( (by flying)) to either a friend or your soulmate. If you don't have a soulmate, it'll send the letter you write to your best friend (s).

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Oneshot Prompt Generator. Prompt: "you're thinking about thi too much." randomize. AI Roleplay Chat AI Story Generator AI Image Generator AI Anime Generator AI Human Generator AI Character Description Generator AI Text Adventure AI Text Generator AI Poem Generator AI Meme Maker Furry AI Art Generator AI Fanfic Generator AI Character Chat AI.

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Example of One-shot prompting : Generate a comprehensive project plan for launching a new product, including key milestones, tasks, timelines, and resource allocation.

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Use 1-shot prompts when you want to nudge the model in the right direction without overwhelming it with multiple examples. Example 1-shot prompt: "Translate the following English sentences into French. Here's an example: 'I love playing soccer.' -> 'J'aime jouer au football.' Now translate: 'She enjoys reading books.'"

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Few-shot prompting includes the special cases of 0-shot and 1-shot prompting. A 0-shot prompt is used to prompt the AI to generate text without any additional training data or examples. An example.

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General Fluff Prompts In a world with no gravity, a young adventurer learns to fly. Hiro leaves his life of crime for good after meeting Tadashi's family. Her new partner arrives unexpectedly. A robot is activated and his first words are, "I need your help."

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The tldr here is that I was wondering if there's a (not exhaustive, obviously, but pretty robust) list of OTP prompts that anyone knows of. I'm currently hitting some writers block with my canon compliant fic, so I was hoping to find a good list of prompts and maybe write a one-shot or two while I wait for the proper writing ~mood- to strike again with the other.

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What is One-Shot Prompt? One-Shot refers to a technique where a single example or instruction is provided to an AI language model, like ChatGPT, to guide its behavior and help it understand the desired response format or context.

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Step 1: Choose the theme Decide on a specific idea or concept for your one-shot story. It could be a particular event, a character's journey, or a mystery to solve. Having a clear focus will help you stay on track while crafting your story. Let's consider the theme of "Friendship and Adventure."

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V6 takes an already capable model and improves upon it by adding a touch of realism to landscape photos. Here are a couple of prompts that captures the essence of nature: [Subject] real photography by daniel kordan, panoramic shot, dutch landscapes, epic. [Subject] real photography, eerie, ultra wide angle, [Color] hues, inspired by vilhelm.

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"One-Shot prompting" refers to a strategy in which the model is shown one task-specific example before presenting the actual prompt. In contrast to zero-shot prompting, this approach.