# 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/sky6iha
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案例解析：RAG 的盡頭是 Agent
AI 進化論：從 RAG 到 Agent，智能體如何重塑未來世界© 作者 \\|Blaze來源 \\| 神州問學引言 隨着 ChatGPT、ChatGPT-4 等的發佈，我們徹底被大模型（LLM）的魅力所征服，越來越多的公司和企業開始聚焦大模型技術的研發和使用，爲我們的日常生活帶來了極大的便利。但是，大模型同樣面臨着時效性、準確性等各種問題，如何讓 LLM 變得更好？如何解決 LLM 所面臨的挑戰？如何 ⌘ Read more