ml-ai-assistant

What problem does it solve?

This Skill streamlines the entire lifecycle of building and deploying Machine Learning and AI systems, from initial model training to advanced LLM application development.

Core Features & Use Cases

• Model Training & Evaluation: Supports training various models, experiment tracking, and comprehensive evaluation.
• LLM & RAG Development: Enables building sophisticated LLM applications, including Retrieval-Augmented Generation systems.
• Deployment & Monitoring: Provides patterns for deploying models and monitoring their performance in production.
• Use Case: You need to train a new classification model, track its performance against previous experiments, and then deploy it as a REST API.

Quick Start

Use the ml-ai-assistant skill to help train a new classification model.