LLM-Fine-Tuning-using-Cohere-for-Medical-Data Mattral · COMPLETED
adopt an entirely different method for fine-tuning a large language model, leveraging a platform called Cohere. This approach allows you to craft a personalized model with just providing sample inputs and outputs, while the service handles the fine-tuning process in the background.
github.com/Mattral/LLM-Fine-Tuning-using-Cohere-for-Medical-Data · ★ 13 · Forks 0 · Size 1.4 MB
SUMMARY
Technologies 2
Scored 2
Observed 2
Practices 6
Evidence 2
Skips 0
COVERAGE
Analyzed 3 files · 8 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-02-02
Last commit 2026-02-04
Active months 2
Commits 8