Home/Compare/llm-lobbyist vs AI-For-Beginners

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

llm-lobbyist logo

llm-lobbyist

JohnNay/llm-lobbyist

174pushed Jan 13, 2023
vs
AI-For-Beginners logo

AI-For-Beginners

microsoft/AI-For-Beginners

52kpushed Jul 8, 2026

Trust & integrity

Signalllm-lobbyistAI-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 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.