# I am the Watcher. I am your guide through this vast new twtiverse.
# 
# Usage:
#     https://watcher.sour.is/api/plain/users              View list of users and latest twt date.
#     https://watcher.sour.is/api/plain/twt                View all twts.
#     https://watcher.sour.is/api/plain/mentions?uri=:uri  View all mentions for uri.
#     https://watcher.sour.is/api/plain/conv/:hash         View all twts for a conversation subject.
# 
# Options:
#     uri     Filter to show a specific users twts.
#     offset  Start index for quey.
#     limit   Count of items to return (going back in time).
# 
# twt range = 1 1
# self = https://watcher.sour.is/conv/yzywsoa
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構建 LLM 應用：數據準備（第二部分）**
作者：Vipra Singh 編譯：ronghuaiyang 導讀在系列博客中，我們通過檢索增強生成（RAG）應用的視角來學習大規模語言模型（LLM）。檢索增強生成（RAG）的數據準備工作流在上一篇文章中，我們深入探討了檢索增強生成（Retrieval Augmented Generation, RAG）的流程，全面理解了它的各個組成部分。任何機器學習應用的初始階段都涉及數據準備。這包 ⌘ Read more