large language model (LLM) — Dictionary of Applied Machine Learning MCP Resource
large language model (LLM)
is one of 122 resources on the
Dictionary of Applied Machine Learning
MCP server. Connect the server and your client can attach it as context.
by client
How to attach large language model (LLM) from your client
- Claude Code Dictionary of Applied Machine Learning Resource/large language model (LLM) run in your project directory
- Claude Desktop Dictionary of Applied Machine Learning Resource/large language model (LLM) ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Dictionary of Applied Machine Learning Resource/large language model (LLM) ~/.cursor/mcp.json
- VS Code Dictionary of Applied Machine Learning Resource/large language model (LLM) .vscode/mcp.json
- Zed Dictionary of Applied Machine Learning Resource/large language model (LLM) ~/.config/zed/settings.json
- Windsurf Dictionary of Applied Machine Learning Resource/large language model (LLM) ~/.codeium/windsurf/mcp_config.json
- Cline Dictionary of Applied Machine Learning Resource/large language model (LLM) ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Dictionary of Applied Machine Learning Resource/large language model (LLM) ~/.gemini/settings.json
- Grok Dictionary of Applied Machine Learning Resource/large language model (LLM) .mcp.json (in your project root)
- ChatGPT Dictionary of Applied Machine Learning Resource/large language model (LLM) Settings → Connectors → Advanced → Developer mode
- Claude.ai Dictionary of Applied Machine Learning Resource/large language model (LLM) Settings → Connectors → Add custom connector
- LangChain Dictionary of Applied Machine Learning Resource/large language model (LLM) pip install langchain-mcp-adapters
Other resources on this server
- Reading order: Wie funktioniert ChatGPT? (LLMs)
- Reading order: KI-Grundlagen
- Reading order: Erklärbare & vertrauenswürdige KI
- Reading order: KI, Recht & AI Act
- Reading order: KI in der Praxis (ML-Systeme)
- Reading order: Reinforcement Learning
- Reading order: Mathematik der KI
- accuracy
- artificial neural network (ANN)
- attention
- autoencoder
- backpropagation
- bagging
- base learner
- baseline
- binary classification
- boosting
- bootstrap
- concept activation vector (CAV)
- classification
- clustering
- confusion matrix
- convex
- correlation
- covariance matrix
- data
- data augmentation
- data imputation
- data leakage
- data point
- dataset
- decision boundary
- decision region
- decision tree
- dimensionality reduction
- distribution shift
- effective dimension
- eigenvalue
- expectation–maximization (EM)
- ensemble
Read from the server itself, by connecting to it and calling resources/list on 14 November 2026.
A listing does not declare its resources, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each resource's type and contents.