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Apr 12Wed
  1. Dify Blog

    Dify guides developers on how to build effective GPT-based applications

    When developers use OpenAI's GPT API, the AI may not produce the expected output or may 'be uncooperative'. To address these challenges and improve GPT performance, it is necessary to follow three key steps: guide model behavior through prompt engineering, use single-point or few-shot learning techniques, and leverage embeddings to extend model context, and can adapt the model to specific domains through fine-tuning.

Apr 11Tue
  1. Dify Blog65

    Dify Explores the Concept of Ops in LLMOps

    Ops in LLMOps refers to the operational level of AI application development, deployment, and continuous improvement based on large language models (LLMs) such as GPT-4. Dify simplifies this process through features like multi-user collaboration, plugins, datasets, logs, and annotations, with its platform aimed at filling the gap in current user-friendly LLMOps solutions.

Mar 15Tue
  1. Dify Blog65

    How to develop ChatGPT plugins: A comprehensive guide

    Developing ChatGPT plugins can extend AI client functionality by integrating additional features through APIs. Developers need to create an ai-plugin. file describing the plugin's functionality and deploy it to Serverless platforms like AWS Lambda. Dify supports integrating internal and third-party plugins to achieve AI application orchestration.