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Tool profile

ray-project/llm-applications

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Stale

A comprehensive guide to building RAG-based LLM applications for production.

anyscalefine-tuningllama2llmsmachine-learningopenairayserving
Velocity score
0.00/ 10
[STARS]
1.9k
[FORKS]
255
[CONTRIBUTORS]
0
[LAST_COMMIT]
2y ago
OPEN_ON_GITHUB
Velocity class: new
Is ray-project/llm-applications still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
332/ 1000
fine-tuning · ray-project/llm-applications
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
323
[INSTALL_VEL]
500
[ACTIVITY]
137
[COMMUNITY_SIGNAL]
0

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout