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Build powerful Agents and connect with external tools by drag and drop - with Dify.ai ๐ฅ
Summary
Agentic AI, when paired with Defy's platform, offers a powerful solution for businesses to harness the capabilities of large language models (LLMs). Defy simplifies the development of LLM solutions by offering customization, pipeline management, and agent capabilities for quick transition from prototype to production. This platform empowers users to create robust AI applications with ease, providing workflow orchestration, advanced prompt design, and scalable backend infrastructure. With Defy, users can leverage various LLMs, embed models, and develop public websites or APIs in just minutes, making it a valuable asset for enterprises seeking efficient AI solutions.
Introduction to Agentic AI
Agentic AI provides true business value by allowing large language models to operate with agents, breaking down complex tasks, leveraging external tools and data sources, and refining strategies through iterative feedback.
Introduction to Defy Platform
Defy is a comprehensive platform for developing LLM solutions, offering customization of AI workflows, pipeline management, agent capabilities, and more to quickly move from prototype to production.
Building LLM Apps with Defy
Defy simplifies building LLM apps with a user-friendly interface, drag-and-drop functionality, and an open-source platform for production-ready AI applications.
Enterprise-grade AI Solutions with Defy
Defy enables the creation of robust, enterprise-grade AI solutions by allowing users to choose from various LLMs, embedding models, creating agents, and developing public websites or APIs in minutes.
AI Workflow Orchestration with Defy
Defy provides AI workflow orchestration capabilities and empowers users to design, test, and refine advanced prompts for AI applications, along with a scalable backend and integration with various tools in the ecosystem.
Installation and Hosting Options for Defy
Defy can be installed on a local machine or hosted in the cloud, with minimal system requirements. Users can access Defy's GitHub repository for the code and utilize the web version for cloud deployment.