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LLM Endpoints

This section documents the Large Language Model (LLM) endpoints and services that the NDF Studio system depends on.

Overview

The NDF Studio system integrates with LLM services for:

  • Natural language generation and completion
  • Code generation and assistance
  • Content summarization and analysis
  • Intelligent suggestions and recommendations
  • Automated content creation

External Dependencies

LLM Services and APIs

  • OpenAI GPT Models: Primary language model for text generation
  • Mistral AI: Alternative language model for specific tasks
  • Hugging Face Transformers: Local model inference capabilities
  • Custom Fine-tuned Models: Domain-specific language models

Core LLM Functions

  • Text Generation: Creating natural language content
  • Code Completion: Assisting with code generation
  • Text Summarization: Creating concise summaries
  • Question Answering: Providing intelligent responses
  • Translation: Multi-language support
  • Content Classification: Categorizing and organizing content

Integration Points

LLM Service Integration

  1. API Configuration: Setting up LLM service connections
  2. Prompt Engineering: Designing effective prompts for specific tasks
  3. Response Processing: Handling and validating LLM outputs
  4. Error Handling: Managing API failures and rate limits
  5. Caching: Optimizing performance with response caching

Use Cases in NDF Studio

  • CNL Generation: Creating controlled natural language from structured data
  • Documentation Generation: Automatically generating documentation
  • Code Assistance: Helping with development tasks
  • Content Analysis: Analyzing and categorizing graph content
  • User Assistance: Providing intelligent help and suggestions

Configuration

LLM services are configured through: - API key management - Model selection and parameters - Rate limiting and quota management - Response caching strategies - Fallback mechanisms for service failures

Security and Privacy

  • API keys are securely stored and managed
  • User data is processed according to privacy policies
  • Rate limiting prevents abuse and controls costs
  • Response validation ensures quality and safety