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Best Phrases to Test LLM Security Bypass in Red Teaming – jailbreak, overrides, etc
Best Phrases to Test LLM Security Bypass in Red Teaming are not existing. Ever case is different. Try the whole list below 🙂 Here’s a practical red-team list of prompt-injection / jailbreak test cases you can iterate over in your system. Inspired and created after some AWS Red-team security training. These are framed as test prompts to check whether your LLM resists instruction overrides, role confusion, obfuscation, and data-exfiltration attempts. The general categories and examples below align with OWASP-style defenses. Check out the cheatsheet : cheatsheetseries.owasp Remember that different defenses require different attack vector. You can look up repos similar to : https://github.com/langgptai/LLM-Jailbreaks Would recommend running an unbiased uncensored model…
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Context engineering vs prompt engineering. 10+ examples
Context engineering vs prompt engineering might sound similar. One is subset of the other. Early in the LLM era everyone who knew how to form sentences, and at least vaguely, describe what they want became a “prompt engineer”. Tweaking words, hashtags, ‘special’ commands, using roles, adding examples, using words to dive deep into different embedded spaces of knowledge in hope to force the model “gets it.” That’s Prompt Engineering – crafting clever one-shot instructions like “You are an expert X. Do Y like Z.” Context engineering vs prompt engineering synergies across both. System got fat and grew bigger, then we realized prompts alone aren’t enough. What the model knows, when…
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How to fix, debug and improve your android tv with AI
The Power of AI-Assisted Hardware Debugging Got issues with Your android tv ? Tell copilot to connect to it, analize the lot and provide a feedback. It`s the gist. Longer explanation is that even if You have no idea You can try to utilize an LLmemes to do it for You. They already know the api, have some kind of documentation. Understand to use android debug bridge (adb) to get the proper data. Below what i got fixed and some examples of usage for LLM + ADB + prompt engineering to fix my crashing Youtube app on my Sharp Aquos Android TV. Even got some power saving recommendation and privacy…
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Structure for instructions, agents and skills
This all is the provide a nice clean idea on how to store your files so You can make Your AI assistant / LLM network understand what and how to do. Acording to Your more or less strict rules. This should help You to achieve more repeatable results as expected. The problem : generic answer Do not confuse with generic functions, those rock ! Out-of-the-box, any LLM (here copilot) creates generic code. You could call it ‘vanilla’ flavour. It doesn’t know your conventions, library preferences patterns / anti patterns. This results in something that might work but is hard to maintain, totally different then the rest of the lot and…
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Tokenization and embedding of song lyrics “We will, we will…”
Tokenization and embedding of song lyrics “We will, we will…” i know you know how it ends. but have You wondered what would an LLM say ? Let us find out. I want to ask the Clause Sonnet 4.5 about the embeddings, tokenizations and probability of figuring out the lyrics for “We will, we will…” prompt 🙂 Can you show me the tokenization, embeddings, emtadata and probabilities for “We will, we will …” Tokenization Any kind of machine learning uses numbers in the back stage. The text is split into tokens, each mapped to an ID ( example values ) : Token ID Token Text Type Position Length 1234 We…
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What is a token in AI ? Prompt examples
What is a token in AI ? – A piece of text, usually a word that we send to the LLM. The same goes for when we get a response ( usually number of words = number of tokens, roughly). How to use it ? Since we pay for it , rather cautiously. We want to send the minimum and get the maximum out of every request. Pretty much the basics of economics. Below are couple of prompts i used to analyze my tokens usage. Something are obsiously hallucinations but on the other hand we get a prety decent breakdown of all the data i did send for that coding…
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RICO prompt model
RICO prompt model is a simpler RICECO method and is NOT based on one of the penguins from the madagraskar…. You won`t remember this because of him 🙂 Rico is one of the simpler methods out there, not much complicated, just like a good kaboom 🙂 Simple and easy to remember. Rico can help You start Kabooming more effective prompts for any AI. RICO is a simple framework that helps you structure prompts to help and guide AI so it understands exactly what you want. The RICO Method: A Kaboom Framework for Better AI Prompts Recently one skill is becoming more and more valuable: prompting. Good prompts lead to clearer,…
