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.
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 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.
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.