JosephTLucas/llm_test

A suite of tests to verify bias, safety, trust, and security concerns for LLMs.

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 4 / 25

Maturity 16 / 25

Community 0 / 25

Stars

Forks

—

Language

Python

License

MIT

Category

Last pushed

Nov 07, 2022

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/JosephTLucas/llm_test"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

UBC-MDS/fixml

LLM Tool for effective test evaluation of ML projects with curated Checklists and LLM prompts

AstraBert/DebateLLM-Championship

5 LLMs, 1vs1 matches to produce the most convincing argumentation in favor or against a random...

iSEngLab/LLM4UT_Empirical

[ISSTA 2025] A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing

iSEngLab/RetriGen

[2025 TOSEM] Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained...

iSEngLab/LLM4AG

[2025 TOSEM] Exploring Automated Assertion Generation via Large Language Models