[Docs]: complement documentation with outputs of a llm trained on FEDOT examples

[Lopa10ko]

Motivation

Leveraging large language models (LLMs) to generate framework documentation offers several key benefits:

• Improved consistency and coherence across the documentation corpus, ensuring a cohesive user experience.
• Distillation of complex concepts into clear, concise explanations, enhancing accessibility.
• As frameworks grow, LLMs can automatically generate and update documentation, reducing maintenance overhead.
• The LLM-generated documentation can be iteratively refined based on user feedback, keeping it up-to-date and relevant.

Suggestion

Utilize the RAG approach with an LLM-agent trained on the framework's application examples to generate documentation.