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This new experience combines the foundation of bing’s search results with the power of large and small language models (llms and slms) A bing service that gives you enhanced search details from billions of web documents. Bing’s ai redesign shoves the usual list of search results to the side microsoft unveils bing generative search — enhanced with ai, it’s a complete overhaul of traditional search
科技巨頭微軟近年來重壓 AIGC（人工智慧生成內容） 領域，並整合 OpenAI，釋出新版 Bing 搜尋引擎，文章將重點分析新版 Bing 的優劣勢，同時我們也可以期待 AI 引領搜索引擎的時代即將來臨。 I am trying to apply responsefilter with value relatedsearches as per the documentation here 在OpenAI正式宣布推出全新GPT-4大型語言模型之後，微軟很快地宣布新版Bing搜尋服務也已經接入此大型語言模型，藉此整合更進階的人工智慧技術。
雖然微軟日前與OpenAI合作打造的新版Bing搜尋服務成效令人驚艷，但實際上還是發生不少爭議問題，例如對使用者爭辯內容發怒，或是給出錯誤解答，而微軟稍早對此做出相關回應。
Here at serpapi, we provide our own bing search api that can be easily integrated to minimize disruption to your service once the official apis have been retired In this blog post, i'm going to describe the basic changes you will need to make to make the move to serpapi's bing search api. From what i gather, there has to be some sort of a ranking algorithm where the words which the user enters first get bagged, and then the closest related search pops up, from a history of past related searches The ranking is probably influenced by user's previous search history.
Bing offers specialized searches, such as bing images, videos, and maps After finding related searches, use these verticals to delve deeper into specific types of content. How does one get related searches to be included in response from bing search api
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