一位 Mastodon 用户提出了一种绕过昂贵的提示工程课程需求的方法。该技术建议使用一个较小的聊天机器人来管理一个更大、更强大的聊天机器人的提示，这与历史上的大型机计算实践有相似之处。 AI
影响 暗示了提示工程的一种潜在捷径，可能会影响专业培训的价值。
排序理由 社交媒体平台上用户生成的观点文章，质疑特定的AI实践。
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提示工程课程因“聊天机器人套聊天机器人”方法受到质疑
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Meme
- 社交媒体平台上用户生成的观点文章，质疑特定的AI实践。
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- opinion, other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Standard
- On-topic for AI-industry coverage; kept in the public index.
- Story freshness
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [1]
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惹恼那些销售昂贵的Prompt Engineering(tm)课程的人，问他们为什么不直接在大型聊天机器人前面安装一个小型聊天机器人来做
Tirritate people who sell expensive classes in Prompt Engineering(tm) by asking why one wouldn't just [sic] install a small chatbot in front of a big one to do the prompt engineering for it, like people used to do in the days of the mainframes. # retrocomputing # AI