discover-ml

Community

Master ML/AI for model training and evaluation.

Authorrand
Version1.0.0
Installs0

System Documentation

What problem does it solve?

The rapidly evolving field of Machine Learning and AI, especially with LLMs and diffusion models, presents significant challenges in model selection, training, and evaluation. This skill provides instant access to expertise on RAG, LLM evaluation, fine-tuning, and multi-model orchestration, streamlining your AI development.

Core Features & Use Cases

  • LLM & Diffusion Model Expertise: Covers RAG (Retrieval Augmented Generation) techniques, LLM evaluation frameworks, custom LLM evaluation, diffusion model basics, and fine-tuning.
  • Advanced ML Workflows: Includes skills for DSPy modules, optimizers, assertions, multi-model orchestration, and stable diffusion deployment.
  • Intelligent Activation: Automatically loads when you're engaged in ML development tasks, providing context-aware guidance.
  • Use Case: When building an LLM-powered application, this skill can guide you through implementing RAG, selecting the right LLM, and setting up a robust evaluation framework.

Quick Start

Help me evaluate the performance of my RAG system using appropriate metrics.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: discover-ml
Download link: https://github.com/rand/cc-experiments/archive/main.zip#discover-ml

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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