How LLM Chatbots Get Hacked: Prompt Injection, Prompt Leakage, and Model Fingerprinting
LLM chatbots fail in a different way than normal apps. A normal app receives input, checks permissions, calls APIs, and returns a...
RAG Text Chunking Strategies
Chunking is arguably the most critical factor for RAG performance. How you split your documents affects your system's ability to find relevant...
LLM Parameters: Temperature, Top-P, Top-K Guide
If you've ever used ChatGPT, Claude, or any AI chatbot, you've probably noticed something interesting: sometimes they give you creative, unexpected answers,...
Advanced Prompt Engineering for Complex Tasks
As LLM applications mature, simple single-shot prompting no longer suffices for complex reasoning tasks. Dynamic prompt chaining enables AI systems to break...
Context Engineering: Mastering the 200K Token Era
With Claude 3.5 Sonnet supporting 200K tokens and Gemini 2.5 reaching 2M tokens, context engineering has become as important as prompt engineering....
Prompt Engineering 2025: What Works
Prompt engineering has evolved from an art to a science. After analyzing over 1,000 prompts and their results across different models, patterns...