Add section on Edge AI and On-device LLMOps

[pmady]

Description

Edge AI and on-device LLM deployment is growing rapidly. Add a section covering tools and frameworks for running LLMs on edge devices.

Tasks

• Create new "Edge AI and On-device LLMOps" section
• Add edge inference frameworks (ONNX Runtime, TensorFlow Lite)
• Include model compression and quantization tools
• Add edge deployment platforms
• Include on-device fine-tuning tools
• Add edge-specific monitoring tools
• Include hardware acceleration libraries

Acceptance Criteria

• Comprehensive coverage of edge LLMOps tools
• Clear categorization by capability
• All tools have working links and descriptions
• Section addresses edge-specific challenges

Resources

• ONNX Runtime
• TensorFlow Lite
• Edge AI platforms

Good First Issue

Excellent for learning:

• Edge AI ecosystem
• On-device ML deployment
• Resource-constrained ML operations