Phi-3MiniSamples PratikDhanave · COMPLETED
Discover how phi3-mini, a new series of models from Microsoft, enables deployment of Large Language Models (LLMs) on edge devices and IoT devices. Learn how to use Semantic Kernel, Ollama/LlamaEdge, and ONNX Runtime to access and infer phi3-mini models, and explore the possibilities of generative AI in various application scenarios
github.com/PratikDhanave/Phi-3MiniSamples · ★ 0 · Forks 0 · Size 6.3 MB
SUMMARY
Technologies 7
Scored 7
Observed 7
Practices 6
Evidence 7
Skips 0
COVERAGE
Analyzed 51 files · 34 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
3 files · PRODUCTION
C++ LANGUAGE Depth 70
6 files · PRODUCTION
Markdown LANGUAGE Depth 70
9 files · PRODUCTION
Python LANGUAGE Depth 70
3 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Flask FRAMEWORK Depth 58
1 files · PRODUCTION
TypeScript LANGUAGE Depth 50
3 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-04-23
Last commit 2024-06-26
Active months 3
Commits 34