课程: Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications

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Hands-on lab: Contextual retrieval

Hands-on lab: Contextual retrieval

百度 据台湾中央社网站3月15日报道,台防务主管部门负责人严德发当天上午在台立法机构答询时说,F-35符合台军作战需求,确实有向美方提这项方案,但架次不愿透露。

- To better understand the contextual retriever concept, we'll review together the fourth contextual retriever notebook. We'll load the complex data set and split the document into chunks exactly like what we did in the previous notebook. And then we'll generate the context sentence and append it to the chunks. We'll use the same visual improvements that we had did before and we'll suppress the warnings to keep the notebook clean. Let's load the data set. This is the same data set that we loaded before from the archive with AI papers, and we'll split the documents into chunks using the OpenAI encoder. This is exactly what we did in the previous notebook. It'll take a couple of seconds. And now we have the first document chunks. Let's see the text of the first chunk. And now we want to generate the context sentence for each one of the chunks from this document. We'll use anthropic here. There are a few reasons for that just because you can use different LLM. You can mix and match the…

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