Explore >> Select a destination
|
You are here 
|
www.promptingguide.ai | ||
| | | | |
mlops.systems
|
|
| | | | | 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. | |
| | | | |
simonwillison.net
|
|
| | | | | 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: ... | |
| | | | |
jannikreinhard.com
|
|
| | | | | In this blog post I want to deep dive with you how LLMs and CoPilots work, want to give an explanations into the most important aspects and show you some important architecture aspects and concepts. We will not build an own Copilot but I will share also some reference architectures and a tool I created... | |
| | | | |
some-natalie.dev
|
|
| | | How to run Dependabot on-premises using Red Hat Enterprise Linux | ||
