2 Commits

Author SHA1 Message Date
Rene Fichtmueller
890ac48ec7 fix(blog-106): sanitize dummy credentials in code examples
Replace literal 'apipass'/'admin' placeholder credentials with
explicit <USER>/<PASSWORD> placeholders. Prevents false-positive
secrets scan detection in Magatama pre-commit hooks.

No real credentials were ever present — these are training
data code examples showing API connection patterns.
2026-05-12 23:25:24 +02:00
Rene Fichtmueller
2c3cc69a78 feat: BlogLLM training corpus expansion — 127 articles across 18 phases
Comprehensive B2B technical blog training dataset combining deep optical
networking domain expertise (Articles 102-180) with scientific content
engineering (Articles 181-228).

Coverage:
- Phase 1 (Foundation): Optical diagnostics, transceiver validation,
  DWDM strategy, vendor lock-in, vertical markets, 5G/6G optics
- Phase 2 (Deep Technical): 400G/800G coherent, PAM-4/8 modulation,
  silicon photonics, troubleshooting mastery
- Phase 3 (Vertical Markets): FinTech, CDN, government, manufacturing,
  edge computing, telco carrier-grade, quantum networking
- Phase 4 (Specialized/Emerging): CXL/RoCE, observability, DR/BCP,
  capacity planning, DCI design
- Phase 5 (Operations/Management): Testing, vendor relationships,
  zero trust, program management, troubleshooting scenarios
- Phase 6-9 (Synthesis): OSI model, security layers, manufacturers,
  competitive landscape, practical building, project management
- Phase 11-12 (Content Engineering): NLP persuasion, blog writing
  science, hook engineering, visual design, B2B psychology,
  A/B testing, AI prompt engineering
- Phase 13-15 (Strategic Excellence): SEO, brand voice, case studies,
  newsletters, analytics, analyst relations, webinars, advocacy,
  product launches, crisis comms, internationalization, community
- Phase 16-18 (Advanced/Final): ABM, marketing automation, employee
  advocacy, interactive content, original research, AI ethics,
  governance, IR content, generative AI future, privacy, accessibility

Stats: 127 files, ~57,977 lines, ~700,000 words, quality_score: 9
Frontmatter: YAML with training_data:true flag for fine-tuner pipeline
Target: BlogLLM fine-tuning via packages/fine-tuner → GGUF → Ollama
2026-05-12 23:21:39 +02:00