XYXiao Yaoinblog.appliedaihub.org00LangChain, DSPy, and the Physics of Probability Engineering5h ago · 14 min read · A thread on r/PromptEngineering last week opened with a genuinely sharp question: "Is 'probability distribution engineering' just a fancy way of saying 'be more specific'? And isn't that just DSPy runJoin discussion
XYXiao Yaoinblog.appliedaihub.org00How to Write Prompts That Don't Drift5h ago · 7 min read · Prompt drift is not a bug. It is the predictable decay of mathematical constraint over an extended context window. You give an LLM a precise, 400-word instruction. The first 50 tokens of output are exJoin discussion
XYXiao Yaoinblog.appliedaihub.org00The Probability Theory of Prompts: How Context Shapes LLM OutputMar 26 · 7 min read · Stop talking to Large Language Models. They do not understand you, they do not care about your conversational tone, and they do not "think" about the problem. An LLM is a conditional probability estiJoin discussion
