# 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/sogz67q
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LangChainGo 中的提示詞工程（Prompt Engineering）**
在使用 LangchainGo（簡稱 langchaingo）構建智能應用時，提示詞工程（Prompt Engineering） 是一個關鍵環節。它可以幫助我們更精準地引導 LLM（大語言模型）生成符合預期的內容。本文將介紹在 langchaingo 中如何使用提示詞工程。什麼是提示詞工程？提示詞工程是人與機器進行溝通的橋樑，更是用戶引導 AI 精準執行任務的關鍵。提示詞基礎策略明確目標: 用戶需 ⌘ Read more