LLM Application Development Framework
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An LLM Application Development Framework is an application development framework that is a language model integration framework designed to build LLM-powered applications with structured workflows.
- AKA: Large Language Model Application Framework, LLM App Development Framework, Language Model Application Framework.
- Context:
- It can typically provide LLM Abstraction Layers to simplify model interactions and prompt engineering.
- It can typically enable LLM Workflow Orchestration through chain patterns and pipeline architectures.
- It can typically support LLM Context Management via memory systems and conversation tracking.
- It can typically facilitate LLM Tool Ecosystems including retrievers, parsers, and validators.
- It can typically implement LLM Error Handling through fallback mechanisms and retry logic.
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- It can often include LLM Template Systems for reusable prompts and configuration patterns.
- It can often provide LLM Development Tools such as debuggers and performance profilers.
- It can often support LLM Multi-Modal Processing for text, images, and audio.
- It can often enable LLM Fine-Tuning Integrations for domain adaptation.
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- It can range from being a Lightweight LLM Application Development Framework to being a Full-Stack LLM Application Development Framework, depending on its feature coverage.
- It can range from being a Code-First LLM Application Development Framework to being a Visual LLM Application Development Framework, depending on its development approach.
- It can range from being a Cloud-Based LLM Application Development Framework to being a Local LLM Application Development Framework, depending on its deployment model.
- ...
- It can utilize LLM Service Providers for model endpoints.
- It can integrate with Data Storage Systems for persistence layers.
- It can employ Authentication Services for user management.
- It can leverage Analytics Platforms for usage tracking.
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- Example(s):
- Comprehensive LLM Application Frameworks, such as:
- RAG-Focused LLM Application Frameworks, such as:
- Agent LLM Application Frameworks, such as:
- Visual LLM Application Frameworks, such as:
- ...
- Counter-Example(s):
- Traditional Application Framework, which lacks LLM integration capabilities.
- Pure ML Framework, which focuses on model training rather than LLM application building.
- Chatbot Platform, which provides limited scope compared to general LLM applications.
- See: Application Development Framework, LLM Development Framework, AI Application Development, Software Development Framework, Natural Language Processing Framework.