rosellm/mkdocs.yml at main · chtho-like/rosellm · GitHub

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site_name: RoseLLM
site_description: A source-cited LLM learning repository and executable systems lab
site_url: https://www.wineandchord.com/rosellm/
repo_url: https://github.com/chtho-like/rosellm
repo_name: chtho-like/rosellm
docs_dir: docs

theme:
  name: material
  language: en
  features:
    - navigation.instant
    - navigation.indexes
    - navigation.sections
    - navigation.top
    - search.highlight
    - content.code.copy

plugins:
  - search

markdown_extensions:
  - admonition
  - attr_list
  - def_list
  - footnotes
  - md_in_html
  - tables
  - toc:
      permalink: true
  - pymdownx.arithmatex:
      generic: true
  - pymdownx.details
  - pymdownx.highlight:
      anchor_linenums: true
  - pymdownx.inlinehilite
  - pymdownx.superfences
  - pymdownx.tasklist:
      custom_checkbox: true

extra_javascript:
  - javascripts/mathjax.js
  - https://cdn.jsdelivr.net/npm/mathjax@3.2.2/es5/tex-mml-chtml.js

nav:
  - Home: index.md
  - Learning Roadmap: learning-roadmap.md
  - Glossary: glossary.md
  - Research Standard: research-method.md
  - Documentation Quality: documentation-quality.md
  - Model Training Token Ledger: model-training-token-ledger.md
  - DeepSeek Release Timeline: deepseek-release-timeline.md
  - Model Evaluation and Reliability:
      - Reliability and Factuality Map: evaluation/index.md
      - LLM Hallucination and Mitigation: evaluation/hallucination.md
      - Disclosed Vendor Practices: evaluation/hallucination-vendors.md
      - Evaluation and Production Operations: evaluation/hallucination-operations.md
      - Instruction Following and Steerability:
          - Overview, Benchmarks, and GPT vs DeepSeek: evaluation/instruction-following.md
          - Improvement Method Map: evaluation/instruction-following-methods.md
          - Disclosed Vendor Practices: evaluation/instruction-following-vendors.md
          - Evaluation and Production Operations: evaluation/instruction-following-operations.md
  - Coding-Agent Systems:
      - Architecture and Evidence Map: coding-agents/index.md
      - Reasonix History and System Comparison: coding-agents/reasonix.md
  - Multimodal Foundation Models:
      - Architecture and Evidence Map: multimodal/index.md
      - Representation, Fusion, and Native Multimodality: multimodal/architecture.md
      - Kimi Model Lineage and Native Vision: multimodal/kimi.md
      - Kimi K3 Architecture and Systems: multimodal/kimi-k3.md
      - DeepSeek VL, Janus, and OCR: multimodal/deepseek.md
      - LLM-Centered Image Generation: multimodal/generation.md
  - Agentic Reinforcement Learning:
      - Curriculum and Knowledge Map: agentic-rl/index.md
      - Must-Read Syllabus and Priorities: agentic-rl/reading-list.md
      - Terminology and Boundaries: agentic-rl/terminology.md
      - Long-Horizon Task Capability: agentic-rl/long-horizon-capability.md
      - Historical Development: agentic-rl/history.md
      - Mathematical Foundations: agentic-rl/mathematical-foundations.md
      - Step-by-Step Derivations and Code: agentic-rl/derivations-and-code.md
      - Algorithms: agentic-rl/algorithms.md
      - Data and Environments: agentic-rl/data-and-environments.md
      - End-to-End Training Pipeline: agentic-rl/training-pipeline.md
      - Systems and Infrastructure: agentic-rl/systems.md
      - Evaluation and Safety: agentic-rl/evaluation-and-safety.md
      - Source-Level Lab: agentic-rl/source-lab.md
      - Frontier-Lab Case Studies:
          - Evidence Matrix: agentic-rl/case-studies/index.md
          - DeepSeek: agentic-rl/case-studies/deepseek.md
          - Zhipu GLM: agentic-rl/case-studies/glm.md
          - Moonshot Kimi: agentic-rl/case-studies/kimi.md
          - OpenAI, Anthropic, and Google DeepMind: agentic-rl/case-studies/openai-anthropic-google.md
          - Qwen, Meta, and Mistral: agentic-rl/case-studies/qwen-meta-mistral.md
          - Open Industry and Community: agentic-rl/case-studies/open-industry-and-community.md
      - Annotated Bibliography: agentic-rl/bibliography.md