small centered composition, product shot, plain background, wallpaper art, in the center is an image of an epic beautiful ("The Orb of Elegance":1.2) , foliage, at Golden hour, side lit, Colorless, warm light, dynamic dramatic atmosphere, background inspired, dynamic composition, ambient lig...
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Learning from user feedback, it refines its outputs, which always conclude with 'shot on Fujifilm, Fujicolor C200, depth of field emphasized --ar 16:9 --style raw', tailored for commercial video aesthetics. The prompts, formatted in markdown code boxes, are coupled with clear instructions ...
Here, we delve into one of the most basic strategies used to guide LLMs to answer prompts correctly: providing context within user prompts. This is often carried out with 3 different methods: zero-shot prompting, one-shot prompting, and few-shot prompting. Zero-Shot Prompting If you’ve int...
The Technical Writing AssignmentI picked up a GitHub issue for an open-source API documentation tool.Screenshot of GitHub issue description. Source: https://github.com/Redocly/redocly-cli/issues/1429 It’s a suitable issue to leverage AI and prompting as there are clearly defined requirements...
Cho (2003) reported that the workshop-based writing assessment, as compared to the one-shot essay testing approach, proved to benefit student writing performance. The study implies that there is always more than one way to assess student writing which could be fair, ethical and humanistic. ...
Give any of these recommended options a shot — they might blow you away. Editor's note: This post was originally published in October 2022 and has been updated for comprehensiveness. How to Use ChatGPT at Work Discover the key to unlocking unparalleled productivity with this ultimate guide ...
Think of each paragraph as a camera shot… with a catch. Nov 23 5 In Go Into The Story by Scott Myers Movie Analysis: “Her” Jan 21, 2014 14 In Go Into The Story by Scott Myers Script Download Links 100+ scripts made available by studios and production companies. Feb 9, 2017 ...
For that, we adapted the model with a novel combination of the text-prompt approach and the one-shot learning method. Specifically, we selected the best possible example (highest logits) of the target object, using textual prompts to define the object for mask generation. This example was ...
Even if you don't like thinking in terms of recursive grammars, this formalism makes it easy to constrain generation. For example, let's say we have the following one-shot prompt: @guidance(stateless=True) def ner_instruction(lm, input): lm += f'''\ Please tag each word in the input...