Plugin llm-application-dev

Qué hay dentro de llm-application-dev

14 partes leídas de los archivos del propio plugin.

Skills en llm-application-dev

1. 
   embedding-strategieswshobson/agents

   Select and optimize embedding models, chunking strategies, and pipelines for semantic search and RAG applications.

   2 archivos
   42,4 milestrellas
2. 
   langchain-architecturewshobson/agents

   Design and implement LLM applications using LangChain 1.x and LangGraph for agent orchestration, state management, and tool integration.

   2 archivos
   42,4 milestrellas
3. 
   llm-evaluationwshobson/agents

   Implement evaluation strategies for LLM applications using automated metrics, human feedback, and LLM-as-a-judge techniques.

   2 archivos
   42,4 milestrellas
4. 
   prompt-engineering-patternswshobson/agents

   Apply advanced prompt engineering patterns to optimize LLM performance, reliability, and controllability through structured reasoning and few-shot learning.

   10 archivos
   42,4 milestrellas
5. 
   hybrid-search-implementationwshobson/agents

   Combines vector similarity and keyword-based search to improve retrieval accuracy in RAG systems and search engines.

   2 archivos
   42,4 milestrellas