Comparison
AlignLLMHumanSurvey vs awesome-LLM-resources
Verdict
Pick AlignLLMHumanSurvey if alignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价; pick awesome-LLM-resources if awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL.
Markdown twin · AlignLLMHumanSurvey alternatives · awesome-LLM-resources alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | AlignLLMHumanSurvey | awesome-LLM-resources |
|---|---|---|
| Maintenance | Dormant (1060d since push) As of 2w · github_public_v1 | Very active (2d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- AlignLLMHumanSurvey
- A survey on aligning large language models with human expectations
- awesome-LLM-resources
- Summary of the world's best LLM resources.
Stars
- AlignLLMHumanSurvey
- 742
- awesome-LLM-resources
- 8.8k
Forks
- AlignLLMHumanSurvey
- 30
- awesome-LLM-resources
- 950
Open issues
- AlignLLMHumanSurvey
- 0
- awesome-LLM-resources
- 23
Language
- AlignLLMHumanSurvey
- -
- awesome-LLM-resources
- -
Adopt for
- AlignLLMHumanSurvey
- AlignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价
- awesome-LLM-resources
- awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a
Persona
- AlignLLMHumanSurvey
- -
- awesome-LLM-resources
- -
Runtime
- AlignLLMHumanSurvey
- -
- awesome-LLM-resources
- -
License
- AlignLLMHumanSurvey
- -
- awesome-LLM-resources
- Apache-2.0
Last pushed
- AlignLLMHumanSurvey
- Sep 11, 2023
- awesome-LLM-resources
- Aug 14, 2026
Categories
- AlignLLMHumanSurvey
- Evaluation & Observability, Model Training
- awesome-LLM-resources
- AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- AlignLLMHumanSurvey
- Dormant (18%)
- awesome-LLM-resources
- Very active (96%)
Days since push
- AlignLLMHumanSurvey
- 1060d
- awesome-LLM-resources
- 2d
Open issues (now)
- AlignLLMHumanSurvey
- 0
- awesome-LLM-resources
- 23
Stars delta
- AlignLLMHumanSurvey
- Unknown
- awesome-LLM-resources
- +142 (30d)
Open issues delta
- AlignLLMHumanSurvey
- Unknown
- awesome-LLM-resources
- -13 (30d)
Full report
- AlignLLMHumanSurvey
- Trust report
- awesome-LLM-resources
- Trust report
Choose AlignLLMHumanSurvey if…
- Tags unique to AlignLLMHumanSurvey: awesome, chatgpt, chinese-llama, gpt-4.
- 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。
- Leaner open-issue backlog (0).
When NOT to use AlignLLMHumanSurvey
- ，AlignLLMHumanSurvey，，。
Choose awesome-LLM-resources if…
- Tags unique to awesome-LLM-resources: awesome-list, book, course, llm.
- Also covers AI Agents, Developer Tools, Inference & Serving, LLM Frameworks.
- - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies.
When NOT to use awesome-LLM-resources
- - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage.
- - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (GaryYufei/AlignLLMHumanSurvey) · observed Aug 6, 2026
- GitHub forks (GaryYufei/AlignLLMHumanSurvey) · observed Aug 6, 2026
- Last push (GaryYufei/AlignLLMHumanSurvey) · observed Sep 11, 2023
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WangRongsheng/awesome-LLM-resources) · observed Aug 17, 2026
- GitHub forks (WangRongsheng/awesome-LLM-resources) · observed Aug 17, 2026
- Last push (WangRongsheng/awesome-LLM-resources) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 10, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AlignLLMHumanSurvey 742 · awesome-LLM-resources 8.8k (synced Aug 6, 2026).
Common questions
- What is the difference between AlignLLMHumanSurvey and awesome-LLM-resources?
- AlignLLMHumanSurvey: A survey on aligning large language models with human expectations. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose AlignLLMHumanSurvey over awesome-LLM-resources?
- Choose AlignLLMHumanSurvey over awesome-LLM-resources when Tags unique to AlignLLMHumanSurvey: awesome, chatgpt, chinese-llama, gpt-4; 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。; Leaner open-issue backlog (0).
- When should I choose awesome-LLM-resources over AlignLLMHumanSurvey?
- Choose awesome-LLM-resources over AlignLLMHumanSurvey when Tags unique to awesome-LLM-resources: awesome-list, book, course, llm; Also covers AI Agents, Developer Tools, Inference & Serving, LLM Frameworks; - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies.
- When should I avoid AlignLLMHumanSurvey?
- ，AlignLLMHumanSurvey，，。
- When should I avoid awesome-LLM-resources?
- - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content.
- Is AlignLLMHumanSurvey or awesome-LLM-resources more popular on GitHub?
- awesome-LLM-resources has more GitHub stars (8,845 vs 742). Stars measure visibility, not whether either tool fits your constraints.
- Are AlignLLMHumanSurvey and awesome-LLM-resources open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to AlignLLMHumanSurvey or awesome-LLM-resources?
- GraphCanon lists graph-backed alternatives at AlignLLMHumanSurvey alternatives and awesome-LLM-resources alternatives (AlignLLMHumanSurvey markdown twin, awesome-LLM-resources 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, AlignLLMHumanSurvey or awesome-LLM-resources?
- AlignLLMHumanSurvey: Dormant. awesome-LLM-resources: 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 AlignLLMHumanSurvey and awesome-LLM-resources?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AlignLLMHumanSurvey trust report; awesome-LLM-resources trust report.