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Oct 23Mon
  1. Dify Blog65

    Dify.AI introduces a new prompt orchestration mode: a comprehensive analysis from basic to expert mode

    Dify.AI has released a new prompt orchestration mode, allowing users to switch from basic mode to expert mode for greater control. The expert mode is designed for professional developers and prompt engineers, supporting highly customizable orchestration, enabling editing of prompt elements such as context, user input, conversation history, and examples to achieve robust interaction with LLMs or datasets. The basic mode simplifies application creation, while the expert mode provides more configuration options, such as CHAT and COMPLETE models, and supports API calls to external tools.

Oct 12Thu
  1. Dify Blog35

    Enhanced Dify New Dataset Functionality

    Dify has released an update to its dataset management tool, introducing the 'Citation and Attribution' feature and a user-friendly interface, while expanding Dataset API support for multiple file formats and real-time data management. New features include creating empty datasets, document list queries, text/file imports, embedded model integration, and GPT-3.5-turbo-instruct integration, enhancing data management efficiency and interaction experience.

Aug 15Tue
  1. Dify Blog65

    Dify v0.3.13 released: Easily integrate open-source large models like Llama2 and ChatGLM

    Dify v0.3.13 released, integrating open-source large models like Llama2 and ChatGLM, supporting models from Hugging Face and Replicate platforms, allowing users to easily access and quickly build AI applications via API keys. The platform supports rapid switching between models, enabling users to compare performance by clicking the model selector, lowering the barrier for model selection and tuning.

Aug 1Tue
Jul 17Mon
May 15Mon
May 10Wed
Apr 10Mon
  1. Dify Blog65

    Dify Launches Dify WebApp: Easily Build AI-Native Applications

    Dify Launches Dify WebApp, allowing users to quickly combine and deploy cloud-native AI applications without managing infrastructure. The platform offers two types of WebApps: conversational and text generation, respectively designed for building interactive experiences and content generation tasks. Users can deploy via GitHub repositories or self-hosted servers, and leverage open-source templates for lightweight or heavy customization development, integrating Dify's visual orchestration, operational, and dataset capabilities.

Apr 9Sun
  1. Dify Blog65

    Why did we create Dify

    Dify is dedicated to making AI technology more accessible, created to address the complex challenges developers face when using OpenAI's large language models to build AI applications, such as the difficulty of data preparation and model fine-tuning; the platform simplifies LLM application development and operations through a visual interface, unified API, and open-source strategy, and continuously integrates cutting-edge technologies like agent patterns and ChatGPT plugins.