This conference was .NET CONF Taiwan in 2022/12/10.
LangChain is one of the most mainstream frameworks for developing large language model applications. Its ease of use and simplicity enable developers to quickly build product prototypes. Azure Machine Learning is currently one of the most mainstream tools for AI research and application development. It offers comprehensive features and is well integrated with the Python and AI ecosystem.
This talk will introduce the basic concepts of LangChain, including key components such as Model, Chain, and Retriever, and will use the capabilities of Azure Machine Learning as examples. Additionally, it will discuss how to integrate LangChain into Azure Machine Learning and Azure Open AI, allowing developers to leverage the advantages of Azure Machine Learning to rapidly develop large language model applications.
This conference was .NET CONF Taiwan in 2022/12/10.
LangChain is one of the most mainstream frameworks for developing large language model applications. Its ease of use and simplicity enable developers to quickly build product prototypes. Azure Machine Learning is currently one of the most mainstream tools for AI research and application development. It offers comprehensive features and is well integrated with the Python and AI ecosystem.
This talk will introduce the basic concepts of LangChain, including key components such as Model, Chain, and Retriever, and will use the capabilities of Azure Machine Learning as examples. Additionally, it will discuss how to integrate LangChain into Azure Machine Learning and Azure Open AI, allowing developers to leverage the advantages of Azure Machine Learning to rapidly develop large language model applications.
快速生成FAQ Bot - 使用Azure Language Service LanguageService-03-FAQbot (微軟)(鐘祥仁)(20...AllenLi78
This document is a presentation slide about how to create a FAQ bot using Azure AI services. It covers the following topics:
- The goal and overview of the FAQ bot project, which is to turn a company's FAQ page into a chatbot interface that can answer user queries.
- The Azure AI services involved in the project, such as Language Service, Custom Question Answering, and Azure Bot Service.
- The steps to build the FAQ bot, from creating a Language Service resource, importing the FAQ data set, deploying to Bot Service, and connecting to Line channel.
- The demo and summary of the FAQ bot project, showing how it works and what benefits it can bring.
This presentation took place at COSCUP on July 30, 2023.
Hugging Face can be described as the GitHub for AI models. Initially, it was born to address the difficulty and incompatibility of natural language models. Now, besides open-source AI models for natural language, there are numerous other open-source AI models available on the platform. According to leaked documents from Google, open-source AI models are likely to dominate the development of the entire industry in the future. Therefore, the role of Hugging Face is becoming increasingly important.
This talk is designed for beginners in Chatbot development. It will guide you through using the natural language processing models from Hugging Face and demonstrate step by step how to integrate them into LINE to create a chatbot.
7. 7
. Higher values mean that it will be less sensitive
#設定麥克風來源,監聽聲音
#設定辨識語系,輸出辨識結果
8. 聊天機器人
ChatterBot is a machine-learning based conversational dialog engine build
in Python which makes it possible to generate responses based on
collections of known conversations.
8