This presentation talk about one of the example of Agile Software Development for Enterprise. Especially it is about Requirements by Collaboration with QA: Workshops for Defining Needs with QA.
This presentation talk about one of the example of Agile Software Development for Enterprise. Especially it is about Requirements by Collaboration with QA: Workshops for Defining Needs with QA.
2021 Net Conf Taiwan-初探 Azure Communication Service讓 App 也有視訊、通話、即時聊天、簡訊和電話功能Alan Tsai
github: https://github.com/alantsai-samples/2021-net-conf-acs-demo
如果今天你的 Application 使用者遇到了問題可以怎麼樣尋求協助?最快的方式肯定是透過視訊或者通話等功能來達到。但是要做這件事並不容易。以現有流程,可能使用者要打電話找客服,客服在開 Teams 的會議鏈接,然後想辦法傳鏈接過去,然後使用者可能還要下載應用程式,等連上的時候都要下班了。難道不能直接在應用程式一鍵就連上客服,直接就可以馬上共享畫面找出問題嗎?
Azure Communication Service 是一系列的 API 和 SDK 可以讓我們做到視訊、通話、即時聊天、簡訊和電話功能非常容易做到並且整合到 Application。尤其是最近整合到 Teams(在 Preview),讓我們客服人員可以使用 Teams 作為後端而一般使用者直接使用 Application 進行交談。
在這節裡面,我們來看一下什麼是 Azure Communication Service,以及如何在我們 Application 整合它讓我們可以提供豐富的通訊方式。
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.
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 presentation took place at R ladies Taipei on July 31, 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 Hugging Face. It will guide you through using the natural language processing models from Hugging Face.
Run Bokeh in back-end, draw real-time charts to front-end, and make data sc...Ko Ko
Slide in 2022 PyCon APAC
Data scientists are always asked to provide charts of data. Drawing a chart is very easy by Matplotlib or Seaborn, and we can get a chart image file. However, sometimes data scientists' boss may ask for charts which are interactable. In this situation, data scientists can use Bokeh to draw charts. Bokeh will generate HTML/JS files with charts, so that you can get an interactive chart in website.
But what if data scientists' boss asked a real-time charts that can draw charts dynamically according to the change of data? In this case, we can run Bokeh in back-end and send dynamic charts to front-end. In this presentation, I will share my experience of setup Bokeh in back-end and getting a real-time chart in front-end, so that data scientists can work with web developer easily and happily.