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promptengineering

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GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

  • Updated Sep 4, 2024
  • Python

Prompt engineering is the process of designing and refining input queries to gen AI models, like OpenAI's GPT variants, for achieving desired output. It involves optimizing the phrasing, context, and structure of prompts to improve the AI's understanding while maintaining high-quality & creative results that cater to specific app requirements.

  • Updated May 20, 2023
  • Jupyter Notebook

The AI Chat Bot project integrates OpenAI's LangChain Agent with RAG technology, offering a user-friendly interface via Streamlit for seamless communication. It serves diverse functions such as customer service and information retrieval, remaining at the forefront of conversational AI through continuous refinement.

  • Updated Apr 30, 2024
  • Python

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