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LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing strickvl · COMPLETED

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

github.com/strickvl/LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing · ★ 0 · Forks 0 · Size 6.9 MB

SUMMARY

Technologies 12
Scored 12
Observed 12
Practices 6
Evidence 12
Skips 0

COVERAGE

Analyzed 160 files · 654 commits · 0 API calls

TECHNOLOGIES & DEPTH

Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
46 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
57 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 78
12 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 65
1 files · CONFIGURATION
Redis CACHE Depth 65
1 files · CONFIGURATION
Requests LIBRARY Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth 78
14 files · PRODUCTION

PRACTICES

documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent

ACTIVITY & OWNERSHIP

First commit 2023-05-28
Last commit 2024-08-21
Active months 16
Commits 654

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