Unverified50% confidenceOpinionExact time
Large language models have encountered vast amounts of Photoshop-related tutorials, source code, and UI descriptions in their training data, and are therefore able to generate structurally sound related code with relatively high confidence.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedLarge language models' performance in code generation is highly dependent on the scale and quality of pre-training data.78% similarUnverifiedAlmost all mainstream large language models and image generation models today are trained by scraping text, code, images, audio, and video from the public web.76% similarUnverifiedPainting with code requires a large number of 'code-image' paired training samples, which are scarcer than 'text-image' pairs.76% similarUnverified大语言模型在训练过程中接触了大量最佳实践和重构案例，当识别到代码中存在可优化空间时，会倾向于给出最完整的解决方案76% similarUnverifiedTraining specialized classification models can capture the linguistic pattern features of AI-generated comments.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1003784API
curl https://kongchang.com/api/v1/knowledge/claims/1003784MCP
get_claim(id=1003784)