Background to the issue
Content generation applications often encounter the pain points of inefficient prompt engineering iterations and fluctuating generation results, which Portkey's prompt version control and testing tools can effectively address.
Implementation steps
- Creating a library of tips
Create base templates categorized by scenario (e.g., ad copy/press releases) on the Prompts page, using version history to record each modification - A/B test optimization
Synchronized comparison of the output of different cues via the right-hand test area, with suggested evaluation criteria (e.g. creativity/compliance scoring) - team collaboration
Click Share to generate a collaborative link with a comment function to indicate the intent of the change to avoid members overwriting others' versions
advanced skill
For important business scenarios, the Semantic Caching function can be bound to directly call historical quality answers when the semantic similarity of user questions reaches 85%, ensuring the consistency of key content output.
This answer comes from the articlePortkey: a development tool for connecting multiple AI models and managing applicationsThe
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