---
title: "awesome-llms-fine-tuning vs llm-lobbyist"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/curated-awesome-lists-awesome-llms-fine-tuning-vs-johnnay-llm-lobbyist"
tools: ["curated-awesome-lists-awesome-llms-fine-tuning", "johnnay-llm-lobbyist"]
---

# awesome-llms-fine-tuning vs llm-lobbyist

*GraphCanon updated Aug 24, 2026*

## Verdict

Pick awesome-llms-fine-tuning if a curated list for LLM fine-tuning resources including tutorials, papers, and tools; pick llm-lobbyist if the llm-lobbyist tool specializes in evaluating large language models' efficiency in conducting corporate lobbying activities using Jupyter Notebook and the `text-davinci-003` model.

[awesome-llms-fine-tuning](https://github.com/Curated-Awesome-Lists/awesome-llms-fine-tuning) reports 525 GitHub stars, 79 forks, and 10 open issues, last pushed Dec 2, 2024. [llm-lobbyist](https://github.com/JohnNay/llm-lobbyist) has 174 stars, 14 forks, and 0 open issues, last pushed Jan 13, 2023. Figures are from public GitHub metadata via [awesome-llms-fine-tuning's repository](https://github.com/Curated-Awesome-Lists/awesome-llms-fine-tuning) and [llm-lobbyist's repository](https://github.com/JohnNay/llm-lobbyist).

| | [awesome-llms-fine-tuning](/tools/curated-awesome-lists-awesome-llms-fine-tuning.md) | [llm-lobbyist](/tools/johnnay-llm-lobbyist.md) |
| --- | --- | --- |
| Tagline | A comprehensive collection of resources for fine-tuning Large Language Models. | Code for research on large language models conducting corporate lobbying activities. |
| Stars | 525 | 174 |
| Forks | 79 | 14 |
| Open issues | 10 | 0 |
| Language | - | Jupyter Notebook |
| Adopt for | A curated list for LLM fine-tuning resources including tutorials, papers, and tools. | The llm-lobbyist tool specializes in evaluating large language models' efficiency in conducting corporate lobbying activities using Jupyter Notebook and the `text-davinci-003` model. |
| Persona | - | - |
| Runtime | - | - |
| License | (unknown) - (unknown) | - |
| Categories | LLM Frameworks, Model Training | Evaluation & Observability, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [awesome-llms-fine-tuning](/tools/curated-awesome-lists-awesome-llms-fine-tuning.md) | [llm-lobbyist](/tools/johnnay-llm-lobbyist.md) |
| --- | --- | --- |
| Days since push | 629d | 1310d |
| Open issues (now) | 10 | 0 |
| Open issues delta | +1 (30d) | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/curated-awesome-lists-awesome-llms-fine-tuning/trust.md) | [trust report](/tools/johnnay-llm-lobbyist/trust.md) |

## Decision facts: awesome-llms-fine-tuning

- **Adopt for:** A curated list for LLM fine-tuning resources including tutorials, papers, and tools.
- **License detail:** (unknown) - (unknown)

## Decision facts: llm-lobbyist

- **Adopt for:** The llm-lobbyist tool specializes in evaluating large language models' efficiency in conducting corporate lobbying activities using Jupyter Notebook and the `text-davinci-003` model.

## Choose when

### Choose awesome-llms-fine-tuning if…

- Tags unique to awesome-llms-fine-tuning: ai, awesome-list, deep-learning, fine-tuning.
- Also covers LLM Frameworks.
- Need extensive guidance on LLM-specific fine-tuning strategies

### Choose llm-lobbyist if…

- Tags unique to llm-lobbyist: corporate lobbying, llm-evaluation, text davinci 003.
- Also covers Evaluation & Observability.
- When you need to assess how well automated systems can determine if legislative proposals are relevant for particular public companies.

## When NOT to use awesome-llms-fine-tuning

- Looking for real-time interactive support or direct code implementation help
- Favor more specialized tools for immediate performance optimization over broad learning

## When NOT to use llm-lobbyist

- If your scope of work does not involve evaluating or training large language models in a legal policy context.
- When you require a tool to analyze or generate content unrelated to legislative relevance, such as technical documentation or creative writing.

## Common questions

### What is the difference between awesome-llms-fine-tuning and llm-lobbyist?

awesome-llms-fine-tuning: A comprehensive collection of resources for fine-tuning Large Language Models.. llm-lobbyist: Code for research on large language models conducting corporate lobbying activities.. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-llms-fine-tuning over llm-lobbyist?

Choose awesome-llms-fine-tuning over llm-lobbyist when Tags unique to awesome-llms-fine-tuning: ai, awesome-list, deep-learning, fine-tuning; Also covers LLM Frameworks; Need extensive guidance on LLM-specific fine-tuning strategies.

### When should I choose llm-lobbyist over awesome-llms-fine-tuning?

Choose llm-lobbyist over awesome-llms-fine-tuning when Tags unique to llm-lobbyist: corporate lobbying, llm-evaluation, text davinci 003; Also covers Evaluation & Observability; When you need to assess how well automated systems can determine if legislative proposals are relevant for particular public companies.

### When should I avoid awesome-llms-fine-tuning?

Looking for real-time interactive support or direct code implementation help Favor more specialized tools for immediate performance optimization over broad learning

### When should I avoid llm-lobbyist?

If your scope of work does not involve evaluating or training large language models in a legal policy context. When you require a tool to analyze or generate content unrelated to legislative relevance, such as technical documentation or creative writing.

### Is awesome-llms-fine-tuning or llm-lobbyist more popular on GitHub?

awesome-llms-fine-tuning has more GitHub stars (525 vs 174). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-llms-fine-tuning and llm-lobbyist open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to awesome-llms-fine-tuning or llm-lobbyist?

GraphCanon lists graph-backed alternatives at [awesome-llms-fine-tuning alternatives](/tools/curated-awesome-lists-awesome-llms-fine-tuning/alternatives) and [llm-lobbyist alternatives](/tools/johnnay-llm-lobbyist/alternatives) ([awesome-llms-fine-tuning markdown twin](/tools/curated-awesome-lists-awesome-llms-fine-tuning/alternatives.md), [llm-lobbyist markdown twin](/tools/johnnay-llm-lobbyist/alternatives.md)), 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](/compare/curated-awesome-lists-awesome-llms-fine-tuning-vs-johnnay-llm-lobbyist.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, awesome-llms-fine-tuning or llm-lobbyist?

awesome-llms-fine-tuning: Dormant. llm-lobbyist: Dormant. 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 awesome-llms-fine-tuning and llm-lobbyist?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llms-fine-tuning trust report](/tools/curated-awesome-lists-awesome-llms-fine-tuning/trust); [llm-lobbyist trust report](/tools/johnnay-llm-lobbyist/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=curated-awesome-lists-awesome-llms-fine-tuning`](/api/graphcanon/graph?tool=curated-awesome-lists-awesome-llms-fine-tuning)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_