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Bibliotecă de prompturi multimodale

Clasament actualizat la 30 iun. 2026

Explorează cele mai bune biblioteci de prompt-uri multimodale pentru modele AI. Compară repository-urile de top după activitate și funcționalități.

Bibliotecă de prompturi multimodale

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • madcowd/ellAvatar MadcowD

    MadcowD/ell

    5,874Vezi pe GitHub↗

    Ell is a Python library that treats prompts as callable functions, transforming a Python function into a language model program where the docstring defines the system message and the return value defines the user message. It provides a framework for writing language model programs that can accept and return images, audio, and text natively within message objects, and supports chaining multiple model calls into a single function for multi-step reasoning or test-time compute. The library decouples model selection from client instantiation through a registry that supports multiple provider backe

    Ell is a Python library that turns functions into language model programs, natively handling text, image, and audio in messages while supporting multiple model providers, making it a fit for multimodal prompt engineering, though it lacks an explicit template system or interactive UI.

    PythonMultimodal Prompting
    Vezi pe GitHub↗5,874
  • imclumsypanda/langchain-chatglmAvatar imClumsyPanda

    imClumsyPanda/langchain-ChatGLM

    38,183Vezi pe GitHub↗

    This project is a LangChain-based framework for building retrieval-augmented generation systems, autonomous agents, and multimodal chatbots. It functions as an open-source orchestrator that connects local inference engines and online APIs to manage various large language model deployments. The system distinguishes itself by providing specialized interfaces for local knowledge bases, allowing the loading and vectorization of private documents to create context-aware assistants. It also supports multimodal capabilities, enabling the processing of both text and image inputs through vision-capabl

    This LangChain-based framework constructs prompts for text and image modalities to power chatbots and agents, matching the core capability of a multimodal prompt engineering library, though it does not highlight audio support or a dedicated template system.

    PythonAgent Orchestration FrameworksLLM OrchestratorsAgentic LLM Frameworks
    Vezi pe GitHub↗38,183

Related searches

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