ai-llm

What problem does it solve?

Streamlines the full LLM lifecycle from design to production, reducing time-to-value and ensuring robust, observable deployments.

Core Features & Use Cases

• Lifecycle patterns: Strategy selection (prompting, fine-tuning, RAG).
• Evaluation & governance: Automated tests, guardrails, and monitoring.
• Deployment: vLLM-based serving, FP8/FP4 quantization, drift detection.
• Safety: Multi-layer guardrails and policy evaluation.

Quick Start

Initialize an end-to-end LLM project with a prompt strategy, evaluation harness, and deployment plan.