Go 語言入門介紹,底下是大綱:
* Go 語言誕生
* Go 語言優勢
* Go 語言選擇
* 誰在用 Go 語言
最後會提到 goroutine 及 channel 這兩大特性。如果對 Go 語言有興趣,可以參考線上課程
https://www.udemy.com/golang-fight/?couponCode=GOLANG-INTRO
Go 語言入門介紹,底下是大綱:
* Go 語言誕生
* Go 語言優勢
* Go 語言選擇
* 誰在用 Go 語言
最後會提到 goroutine 及 channel 這兩大特性。如果對 Go 語言有興趣,可以參考線上課程
https://www.udemy.com/golang-fight/?couponCode=GOLANG-INTRO
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 document discusses Parsec, a domain-specific language (DSL) for parsing expressions. It describes how Parsec uses monads and state to parse input sequentially. It also lists various parsing functions in Parsec like try, choice, many, and skip. Finally, it mentions several Parsec implementations for languages like Haskell, Rust, JavaScript, Python, and links to related projects from Dwarfartisan.
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 document discusses Parsec, a domain-specific language (DSL) for parsing expressions. It describes how Parsec uses monads and state to parse input sequentially. It also lists various parsing functions in Parsec like try, choice, many, and skip. Finally, it mentions several Parsec implementations for languages like Haskell, Rust, JavaScript, Python, and links to related projects from Dwarfartisan.