在這個資料科學蔚為風潮的年代,身為一個對新技術充滿好奇的攻城獅,自然會想要擴充自己的武器庫,學習嶄新的資料分析工具;而 R 語言,一個由統計學家專門為了資料探索與分析所開發的腳本語言,具有龐大的開源社群支持以及琳瑯滿目、數以萬計的各式套件,正是當今學習資料科學相關工具的首選。
然而,R 語言的設計邏輯與一般的程式語言不同,工程師們過去學習程式語言的經驗,往往造成學習 R 語言的障礙,本課程將從 R 語言的基礎開始,讓同學們從課堂講解以及互動式上機課程中,得以徹底理解 R 語言的核心概念與精要,學習如何利用 R 語言問資料問題,並且從資料分析的角度撰寫效率良好同時具有高度可讀性的 R 語言代碼。
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.
在這個資料科學蔚為風潮的年代,身為一個對新技術充滿好奇的攻城獅,自然會想要擴充自己的武器庫,學習嶄新的資料分析工具;而 R 語言,一個由統計學家專門為了資料探索與分析所開發的腳本語言,具有龐大的開源社群支持以及琳瑯滿目、數以萬計的各式套件,正是當今學習資料科學相關工具的首選。
然而,R 語言的設計邏輯與一般的程式語言不同,工程師們過去學習程式語言的經驗,往往造成學習 R 語言的障礙,本課程將從 R 語言的基礎開始,讓同學們從課堂講解以及互動式上機課程中,得以徹底理解 R 語言的核心概念與精要,學習如何利用 R 語言問資料問題,並且從資料分析的角度撰寫效率良好同時具有高度可讀性的 R 語言代碼。
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.