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www.promptingguide.ai
| | simonwillison.net
3.8 parsecs away

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| | I keep seeing people use the term "prompt injection" when they're actually talking about "jailbreaking". This mistake is so common now that I'm not sure it's possible to correct course: ...
| | jamiemaguire.net
2.8 parsecs away

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| | In the previous blog post, I introduced Semantic Kernel, the components that form the open source SDK, and how it can be used in conjunction to with Open AI to create a simple conversational agent. In this blog post, I take a closer look at how you can leverage prompts to create Inline Prompt Functions when using Semantic Kernel. The following is covered: Inline prompt functions Ensuring predictability Refining LLM prompt output Few-shot prompting Handling unexpected user input Templatising and calling l...
| | mlops.systems
3.0 parsecs away

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| | Chapter 5 of 'Prompt Engineering for LLMs' explores static content (fixed instructions and few-shot examples) versus dynamic content (runtime-assembled context like RAG) in prompts, offering tactical guidance on implementation choices, tradeoffs, and potential pitfalls while emphasising practical examples throughout.
| | www.v7labs.com
14.3 parsecs away

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| Learn about the different types of neural network architectures.