Comparison
llm-lobbyist vs AI-For-Beginners
Verdict
Pick llm-lobbyist when tags unique to llm-lobbyist: jupyter notebook; pick AI-For-Beginners when tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence.
Markdown twin · llm-lobbyist alternatives · AI-For-Beginners alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | llm-lobbyist | AI-For-Beginners |
|---|---|---|
| Maintenance | Dormant (1275d since push) As of today · github_public_v1 | Very active (2d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 3 low (3 low) As of today · osv@v1 |
Tagline
- llm-lobbyist
- Code for the paper: "Large Language Models as Corporate Lobbyists" (2023).
- AI-For-Beginners
- 12 Weeks, 24 Lessons, AI for All!
Stars
- llm-lobbyist
- 174
- AI-For-Beginners
- 52k
Forks
- llm-lobbyist
- 14
- AI-For-Beginners
- 11k
Open issues
- llm-lobbyist
- 0
- AI-For-Beginners
- 4
Language
- llm-lobbyist
- Jupyter Notebook
- AI-For-Beginners
- Jupyter Notebook
Adopt for
- llm-lobbyist
- -
- AI-For-Beginners
- -
Persona
- llm-lobbyist
- -
- AI-For-Beginners
- -
Runtime
- llm-lobbyist
- -
- AI-For-Beginners
- -
License
- llm-lobbyist
- -
- AI-For-Beginners
- MIT
Last pushed
- llm-lobbyist
- Jan 13, 2023
- AI-For-Beginners
- Jul 8, 2026
Categories
- llm-lobbyist
- Vector Databases, LLM Frameworks, Evaluation & Observability
- AI-For-Beginners
- Model Training, Vector Databases, Computer Vision
Trust and health
Maintenance
- llm-lobbyist
- Dormant (18%)
- AI-For-Beginners
- Very active (96%)
Days since push
- llm-lobbyist
- 1275d
- AI-For-Beginners
- 2d
Open issues (now)
- llm-lobbyist
- 0
- AI-For-Beginners
- 4
Owner type
- llm-lobbyist
- User
- AI-For-Beginners
- Organization
Security scan
- llm-lobbyist
- No lockfile
- AI-For-Beginners
- 3 low (3 low)
Full report
- llm-lobbyist
- Trust report
- AI-For-Beginners
- Trust report
Choose llm-lobbyist if…
- Tags unique to llm-lobbyist: jupyter notebook.
- Also covers LLM Frameworks, Evaluation & Observability.
- Leaner open-issue backlog (0).
When NOT to use llm-lobbyist
- Last GitHub push was 1276 days ago (dormant maintenance, Jan 13, 2023). Validate activity before betting a new project on llm-lobbyist.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose AI-For-Beginners if…
- Tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence.
- Also covers Model Training, Computer Vision.
- More GitHub stars (52k vs 174) - visibility, not fit.
When NOT to use AI-For-Beginners
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (JohnNay/llm-lobbyist) · observed Jul 11, 2026
- GitHub forks (JohnNay/llm-lobbyist) · observed Jul 11, 2026
- Last push (JohnNay/llm-lobbyist) · observed Jan 13, 2023
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/AI-For-Beginners) · observed Jul 11, 2026
- GitHub forks (microsoft/AI-For-Beginners) · observed Jul 11, 2026
- Last push (microsoft/AI-For-Beginners) · observed Jul 8, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llm-lobbyist 174 · AI-For-Beginners 52k (synced Jul 11, 2026).
Common questions
- What is the difference between llm-lobbyist and AI-For-Beginners?
- llm-lobbyist: Code for the paper: "Large Language Models as Corporate Lobbyists" (2023).. AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All!. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm-lobbyist over AI-For-Beginners?
- Choose llm-lobbyist over AI-For-Beginners when Tags unique to llm-lobbyist: jupyter notebook; Also covers LLM Frameworks, Evaluation & Observability; Leaner open-issue backlog (0).
- When should I choose AI-For-Beginners over llm-lobbyist?
- Choose AI-For-Beginners over llm-lobbyist when Tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence; Also covers Model Training, Computer Vision; More GitHub stars (52k vs 174) - visibility, not fit.
- When should I avoid llm-lobbyist?
- Last GitHub push was 1276 days ago (dormant maintenance, Jan 13, 2023). Validate activity before betting a new project on llm-lobbyist. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- When should I avoid AI-For-Beginners?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is llm-lobbyist or AI-For-Beginners more popular on GitHub?
- AI-For-Beginners has more GitHub stars (52,098 vs 174). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-lobbyist and AI-For-Beginners open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to llm-lobbyist or AI-For-Beginners?
- GraphCanon lists graph-backed alternatives at llm-lobbyist alternatives and AI-For-Beginners alternatives (llm-lobbyist markdown twin, AI-For-Beginners markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, llm-lobbyist or AI-For-Beginners?
- llm-lobbyist: Dormant. AI-For-Beginners: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for llm-lobbyist and AI-For-Beginners?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-lobbyist trust report; AI-For-Beginners trust report.