After an unreasonable amount of testing, there are only 8 techniques you need to know in order to master prompt engineering. Here's why

Hey everyone, after my last post on the 7 essential frameworks I reached over 700 upvotes and generated countless discussions, I received very constructive feedback from the community. Many of them pointed out the gaps, divided their own test results and asked me to continue researching. I tested another month based on their suggestions, and frankly they were right. A technique was missing that fundamentally changed the execution of the other framework conditions. This updated list is not only my tests, but also the collective wisdom of many inexpensive engineers, enthusiasts or researchers who have taken the time to share their experiences in Thand DMS. After an inappropriate amount of additional tests (and listening to feedback) you only have to know 8 techniques to master the prompt: meta request: ask the AI ​​to refine its original request before creating a answer chain for the chain of the kettens that the AI ​​can get the AI ​​to get an overview of an overview of overview. Various approaches before the selection of the optimal solution (this was the missing piece that many of you mentioned): Several input requests, whereby each outcome becomes input for the next task and forms a structured flow that simulates human thinking, generate knowledge of knowledge: ask the AI, frameworks, techniques or concepts with structured steps. Data with its argumentation reflection: The AI ​​criticizes its own answer for errors and improves it based on this analysis. The community's feedback helped me to create even better examples. If you are interested, here is: Ai -Prompatt Labs The Community Knowledge: Some of them pointed out that the "parallel processing" element was missing in my original 7 frameworks, which enables complex argument. The idea was the technology that always rose in her news, and after I had extensively tested it, I completely agree. The difference is not just low. The idea actually increases the effectiveness of the other 7 frameworks significantly, in that the AI ​​can take several approaches into account at the same time instead of being locked in a single way of argument. Simple example of the idea: "I have to increase the website conversions for my Saas-Landing page. Please use the idea of ​​the thought: First create 3 completely different strategic approaches for each approach, outline the specific tactics and expect the expected results. Rate the professionals/disadvantages of the respective path. Understand when you should use which framework. Technology instead of using all 8 frameworks (this is an exaggeration), the key is necessary, which approaches may only be possible. To choose the right job.