Ultimate soporte para modelos de lenguaje Solutions for Everyone

Discover all-in-one soporte para modelos de lenguaje tools that adapt to your needs. Reach new heights of productivity with ease.

soporte para modelos de lenguaje

  • APIPark is an open-source LLM gateway enabling efficient and secure integration of AI models.
    0
    0
    What is APIPark?
    APIPark serves as a comprehensive LLM gateway offering efficient and secure management of large language models. It supports over 200 LLMs, enabling fine-grained visual management, and integrates seamlessly into production environments. The platform provides load balancing, real-time traffic monitoring, and intelligent semantic caching. Additionally, APIPark facilitates prompt management and API transformation, offering robust security features such as data masking to protect sensitive information. Its open-source nature and developer-centric design make it a versatile tool for businesses looking to streamline their AI model deployment and management.
  • KoppieOS: An AI-powered personalized desktop solution.
    0
    0
    What is KoppieOS-Your Personalized Desktop?
    KoppieOS is the ultimate AI copilot solution for your desktop, enabling users to create a personalized digital workspace. It features customizable wallpapers, 3D avatars, and supports multi-Language Model Systems (LLMS) including GPT-4. With integration capabilities for local LLMs and advanced AI interactions, KoppieOS enhances productivity and user engagement through tools like Raycast for smart launching and Spotlight for efficient search functionality.
  • A lightweight Python framework to build autonomous AI agents with memory, planning, and LLM-powered tool execution.
    0
    0
    What is Semi Agent?
    Semi Agent provides a modular architecture for building AI agents that can plan, execute actions, and remember context over time. It integrates with popular language models, supports tool definitions for custom functionality, and maintains conversational or task-oriented memory. Developers can define step-by-step plans, connect external APIs or scripts as tools, and leverage built-in logging to debug and optimize agent behavior. Its open-source design and Python basis allow easy customization, extensibility, and integration into existing pipelines.
Featured