retrieval
US /rɪˈtrivəl/
・UK /rɪˈtri:vl/
B2 中高級英檢高級多益
n. (u.)不可數名詞取回
Data retrieval can be done easily with this program
n. (u.)不可數名詞資料檢索
Information retrieval is a key function of search engines.
影片字幕
記憶力。速成班學習技巧3號 (Memory: Crash Course Study Skills #3)
10:52
- storage strength and retrieval strength.
儲存力和檢索力
- This represents retrieval strength, which does fade with time.
此代表的就是檢索力，它就會隨著時間變弱了
你的學習是錯誤的--這就是為什麼。
11:05
右腦和左腦有什麼區別？ (What's the Difference Between the Right Brain and Left Brain?)
03:54
- The left side has been deemed more important for storing memories, as its strength is in retrieval.
因為左腦的優勢在於檢索，所以被認為是儲存記憶較重要的一側。
人工智能工程：初學者的現實路線圖 (AI Engineering: A Realistic Roadmap for Beginners)
15:53
- Now this will let you do things like create AI agents, how tool calling capabilities, utilize vector databases, create retrieval, augmented generation programs, which we'll talk about later.
這可以讓你創建人工智能代理、工具調用功能、利用矢量數據庫、創建檢索和增強生成程序等，我們稍後再談。
- Now, rag or retrieval augmented generation is a really big topic in the LLM and AI engineering space.
現在，在法學碩士和人工智能工程領域，抹布或檢索增強生成是一個非常大的話題。
黃仁勳談數據處理與生成式ai的未來 (黃仁勳談數據處理與生成式AI的未來)
24:54
- You know that today's, and why it's such a big deal from a computer science perspective, today's computing experience is retrieval-based.
要知道，從計算機科學的角度來看，當今的計算體驗是以檢索為基礎的，這也是為什麼它如此重要的原因。
- The amount of internet traffic will be dramatically reduced, and it'll be much more generative with some retrieval to augment, right?
互聯網流量將大幅減少，而且會通過一些檢索來增強生成性，對嗎？
RAG vs 微調 vs 快速工程：優化人工智能模型 (RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models)
13:10
- That is called RAG, or Retrieval Augmented Generation.
這就是所謂的 RAG，即 "檢索增強生成"。
- First there's retrieval.
首先是檢索。
你能在古羅馬生存一週嗎？| 瑪麗-比爾德：訪談全文 (Would you survive a week in Ancient Rome? | Mary Beard: Full Interview)
39:31
- And it's changing because of new techniques, new methods of retrieval.
由於新技術、新檢索方法的出現，這種情況也在發生變化。
亞馬遜網絡服務教程--在 AWS 中使用 DynamoDB (Amazon Web Services Tutorial - Using DynamoDB with AWS)
08:10
- So that means every retrieval will be low latency, usually in the single-digit millisecond.
這意味著每次檢索的延遲時間都很短，通常只有個位數毫秒。
AI 架構是什麼？LLM、RAG 和 AI 硬體一次搞懂！ (What Is an AI Stack? LLMs, RAG, & AI Hardware)
09:06
- This could also include the pipelines to do any processing, pre processing, post processing of that data, as well as vector databases you may use or retrieval systems.
這也可能包含處理、預處理、後處理這些資料的管線，以及你可能會使用的向量資料庫或檢索系統。