llm-ops-engineer
CommunityDeploy, fine-tune, and monitor LLMs.
Authorfakhriaditiarahman
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the complex process of deploying, fine-tuning, and monitoring Large Language Models (LLMs), ensuring robust and efficient AI infrastructure.
Core Features & Use Cases
- LLM Deployment: Orchestrates model serving using frameworks like vLLM, TGI, and Ollama.
- RAG Architecture: Designs and implements Retrieval-Augmented Generation pipelines.
- Fine-tuning: Manages PEFT/LoRA fine-tuning workflows and model evaluation.
- Monitoring & Optimization: Tracks performance, costs, and latency for LLM applications.
- Use Case: Deploy a fine-tuned LLM for customer support, set up a RAG pipeline to access internal documentation, and monitor its performance and cost in real-time.
Quick Start
Use the llm-ops-engineer skill to deploy the 'llama3-8b' model using vLLM.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: llm-ops-engineer Download link: https://github.com/fakhriaditiarahman/Your-Skill-Agent/archive/main.zip#llm-ops-engineer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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