Comprehensive 具成本效益的AI Tools for Every Need

Get access to 具成本效益的AI solutions that address multiple requirements. One-stop resources for streamlined workflows.

具成本效益的AI

  • Effortlessly manage, store, and test AI prompts with Git-Integrated GptSdk.
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    What is GptSdk?
    GptSdk revolutionizes AI prompt management by integrating prompt storage and testing with your existing GitHub repositories. This platform allows you to create, update, test, and refine AI prompts with ease. Enjoy full control over your data and leverage Git features like access control, logs, and pull requests. GptSdk supports various programming languages and offers free execution, ensuring a flexible and cost-effective solution for AI developers.
    GptSdk Core Features
    • Git integration
    • Secure prompt storage
    • Version control
    • Batch testing
    • Zero latency execution
    GptSdk Pro & Cons

    The Cons

    Limited language support currently (PHP only, others coming soon)
    Advanced testing features require paid subscription
    No dedicated mobile or Chrome extension apps available
    May require knowledge of Git and version control to fully utilize

    The Pros

    Fully private prompt storage in users' own GitHub repositories
    Supports version control features for collaboration and management
    Free AI runtime with multiple programming language support
    Flexible and portable prompt format (.prompt notation)
    Enables batch testing and side-by-side prompt comparisons
    Provides AI mocks for workflow testing
    GptSdk Pricing
    Has free planYES
    Free trial details
    Pricing modelFreemium
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    Free

    0 USD
    • Real-Time
    • Private
    • Testable
    • Manageable

    Testing

    25 USD
    • Advanced testing
    • Additional features beyond free tier
    For the latest prices, please visit: https://gpt-sdk.com
  • A framework to run local large language models with function calling support for offline AI agent development.
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    What is Local LLM with Function Calling?
    Local LLM with Function Calling allows developers to create AI agents that run entirely on local hardware, eliminating data privacy concerns and cloud dependencies. The framework includes sample code for integrating local LLMs such as LLaMA, GPT4All, or other open-weight models, and demonstrates how to configure function schemas that the model can invoke to perform tasks like fetching data, executing shell commands, or interacting with APIs. Users can extend the design by defining custom function endpoints, customizing prompts, and handling function responses. This lightweight solution simplifies the process of building offline AI assistants, chatbots, and automation tools for a wide range of applications.
  • Amelia is an AI agent that enhances customer service with automated interactions.
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    What is Amelia?
    Amelia is a cutting-edge AI agent that specializes in automating customer interactions across various platforms. Utilizing advanced natural language processing and machine learning, Amelia can understand human emotions, answer questions, and provide comprehensive support. By integrating seamlessly with existing systems, it allows businesses to improve efficiency, reduce operational costs, and enhance customer satisfaction. Its capabilities extend to handling inquiries, providing support for products, and assisting in transaction processes.
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