Fine Tuning
by alphaonedev · development · aws, api, performance, skill
Fine-tuning pre-trained machine learning models for specific tasks using transfer learning techniques.
Source: https://github.com/alphaonedev/openclaw-graph
Install
git clone https://github.com/alphaonedev/openclaw-graphTags: aws, api, performance, skill
⭐ 5 GitHub stars · Source: skillsdirectory
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Frequently asked questions
How do I install Fine Tuning?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Fine Tuning?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Fine Tuning free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.