Ultimate chaînage de prompts Solutions for Everyone

Discover all-in-one chaînage de prompts tools that adapt to your needs. Reach new heights of productivity with ease.

chaînage de prompts

  • Promptify leverages AI to create engaging writing prompts, enhancing creativity and productivity.
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    What is Promptify?
    Promptify uses cutting-edge AI algorithms to generate writing prompts tailored to various needs. Whether you're a professional writer or just someone looking to overcome writer's block, Promptify provides creative, customized prompts to kickstart your writing. It supports chaining prompts together, selecting models, and refining AI-generated content seamlessly.
    Promptify Core Features
    • AI-generated writing prompts
    • Customizable prompt templates
    • Model selection
    • Chaining prompts together
    • Refinement of AI-generated content
  • Simplify and automate AI tasks with advanced prompt chaining through Prompt Blaze.
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    What is Prompt Blaze — AI Prompt Chaining Simplified?
    Prompt Blaze is a browser extension that helps users to simplify and automate AI tasks using advanced prompt chaining technology. This tool is essential for AI enthusiasts, content creators, researchers, and professionals who want to maximize their productivity utilizing LLM models like ChatGPT and Claude without the need for APIs. Key features include universal prompt execution, dynamic variable support, prompt storage, multi-step prompt chaining, and task automation. With an intuitive interface, Prompt Blaze enhances the efficiency of AI workflows, allowing users to execute tailored prompts on any website, integrate contextual data, and create complex AI workflows seamlessly.
  • A .NET sample demonstrating building a conversational AI Copilot with Semantic Kernel, combining LLM chains, memory, and plugins.
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    What is Semantic Kernel Copilot Demo?
    Semantic Kernel Copilot Demo is an end-to-end reference application illustrating how to build advanced AI agents with Microsoft’s Semantic Kernel framework. The demo features prompt chaining for multi-step reasoning, memory management to recall context across sessions, and a plugin-based skill architecture enabling integration with external APIs or services. Developers can configure connectors for Azure OpenAI or OpenAI models, define custom prompt templates, and implement domain-specific skills such as calendar access, file operations, or data retrieval. The sample shows how to orchestrate these components to create a conversational Copilot capable of understanding user intents, executing tasks, and maintaining context over time, fostering rapid development of personalized AI assistants.
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