File:Workflow of a machine-learning-based AI system.png

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Summary

Description
English: This diagram summarizes a typical machine-learning workflow. Data and objectives are used during training to produce a trained model; during deployment (inference), new inputs are processed by the model to produce outputs (e.g., predictions, text, images).
Prompt
InfoField
"Base generation (Nano Banana 2, text-to-image):

Create a clean, neutral, encyclopedia-style infographic (white background, flat vector look, thin lines). Show a left-to-right workflow of a machine-learning–based AI system with five labeled panels: Inputs, Training (development), Trained model, Inference (deployment), Outputs. Use very short labels only (no paragraphs). Avoid marketing-style headlines. Avoid robots or humanoid imagery. Use simple abstract icons (data, database, gears, network nodes, chip). Remove any star rating symbols. Make text large enough to remain readable when scaled down for a Wikipedia thumbnail. Export as PNG (or SVG-like vector style).

Key intermediate edit (image-to-image): Remove the top three icons in the INFERENCE (DEPLOYMENT) panel.

Final finishing edit (image-to-image; applied to the provided image only): EDIT THE PROVIDED IMAGE ONLY. Keep the layout, panels, icons, typography, colors, borders, and spacing unchanged. Modify only the bottom “new inputs” dashed arrow:

Make the dashed line thinner (about 60% of the current thickness). Make dash segments slightly shorter and gaps slightly smaller, with uniform dash spacing and crisp edges (no sketch effect). Keep the arrow subtle: slightly lighter than the main solid arrows. Keep the “new inputs” label as-is (same text, same placement). Keep the arrowhead solid and clean; if possible match the main arrows’ style with a neat outline.

Export as a high-quality PNG."
Date
Source Own work
Author Generated and edited with Genspark (Nano Banana 2); prompt drafted with assistance from ChatGPT 5.2

Generated and edited using Genspark (Nano Banana 2).

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Public domain
This file is in the public domain because it is the work of a computer algorithm or artificial intelligence and does not contain sufficient human authorship to support a copyright claim.

The United Kingdom (legislation) and Hong Kong (legislation) provide a limited term of copyright protection for computer-generated works of 50 years from creation.
AI derivative works
AI derivative works
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Captions

Simplified workflow of a machine-learning–based AI system: training produces a model used at inference time to generate outputs.

7 March 2026

689,967 byte

672 pixel

1,584 pixel

image/png

7deade99b903d74cbfda379c7fbb43c011aac454

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current11:53, 7 March 2026Thumbnail for version as of 11:53, 7 March 20261,584 × 672 (674 KB)wikimediacommons>YOKOTA KuniteruUploaded own work with UploadWizard

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