god-mlops-llm

What problem does it solve?

This Skill unit tackles the challenges of Large Language Model (LLM) engineering, addressing issues like hallucinations, lack of evaluation frameworks, and inadequate serving infrastructure.

Core Features & Use Cases

• Anti-Hallucination Techniques: Provides robust methods to reduce hallucinations in LLM outputs.
• Comprehensive Evaluation Frameworks: Integrates various evaluation frameworks for LLM assessment.
• Fine-Tuning Techniques: Offers best practices for fine-tuning LLMs for specific tasks.
• LLM Serving Infrastructure: Outlines best practices for vLLM production setups and monitoring.

Quick Start

Start by selecting a LLM, set up an evaluation framework, and follow the guidelines for fine-tuning and serving your LLM.