Источники

Вся документация инструментов и исследования, на которые ссылаются статьи сайта. Проверяй сам, не верь на слово.

1. 1.OpenAI. «Prompt engineering — API guide». 2026.
   https://platform.openai.com/docs/guides/prompt-engineering
2. 2.Anthropic. «Prompt engineering overview». 2026.
   https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview
3. 3.Anthropic. «Use XML tags to structure your prompts». 2026.
   https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/use-xml-tags
4. 4.OpenAI. «Models — context windows and capabilities». 2026.
   https://platform.openai.com/docs/models
5. 5.Google. «Gemini API — prompting strategies». 2026.
   https://ai.google.dev/gemini-api/docs/prompting-strategies
6. 6.Wei J. et al. «Chain-of-Thought Prompting Elicits Reasoning in Large Language Models». 2022.
   https://arxiv.org/abs/2201.11903
7. 7.Kojima T. et al. «Large Language Models are Zero-Shot Reasoners». 2022.
   https://arxiv.org/abs/2205.11916
8. 8.Lewis P. et al. «Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks». 2020.
   https://arxiv.org/abs/2005.11401
9. 9.Ji Z. et al. «Survey of Hallucination in Natural Language Generation». 2023.
   https://arxiv.org/abs/2202.03629
10. 10.OpenAI. «Usage policies». 2026.
    https://openai.com/policies/usage-policies
11. 11.Google. «Creating helpful, reliable, people-first content». 2026.
    https://developers.google.com/search/docs/fundamentals/creating-helpful-content
12. 12.Google. «Core Web Vitals report — Search Console Help». 2026.
    https://support.google.com/webmasters/answer/9205520