this slides were mean to be serious as they were supposed to be depicting technical details of 3G communications which being our (mine and anuj aggarwal) project for minor summer training, and guess what we screwed ourselves terribly and the reason being our non-happening slides which has imbibed everything but technical specifications - the prime prerequisite
this slides were mean to be serious as they were supposed to be depicting technical details of 3G communications which being our (mine and anuj aggarwal) project for minor summer training, and guess what we screwed ourselves terribly and the reason being our non-happening slides which has imbibed everything but technical specifications - the prime prerequisite
this slides were mean to be serious as they were supposed to be depicting technical details of 3G communications which being our (mine and anuj aggarwal) project for minor summer training, and guess what we screwed ourselves terribly and the reason being our non-happening slides which has imbibed everything but technical specifications - the prime prerequisite
this slides were mean to be serious as they were supposed to be depicting technical details of 3G communications which being our (mine and anuj aggarwal) project for minor summer training, and guess what we screwed ourselves terribly and the reason being our non-happening slides which has imbibed everything but technical specifications - the prime prerequisite
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.
14. Job 代码
$registJob(“jobTest", function () {
alert(“I am a job test,ha~ha~ha~”);
}
$registJob(“jobTestToo", function () {
alert(“I am 还是 a job test,la~la~la~”);
}
15. pageid 引 代导页 码
function main () {
var job = new Jobs();
job.add("jobTest");
job.add("jobTestToo");
job.start();
}