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Why and How LLMs (AI) Respond Differently to the Same Query. Have you ever asked, ChatGPT, or another AI model, the same question twice, and got two completely different answers? You’re not alone! Large Language Models, or LLMs, don’t always repeat themselves, and that’s not a bug, it is actually how they’re designed. In this video, we’ll explore, why and how, LLMs respond differently, to the same query. I will discuss, not only, why LLMs behave this way, but also, how you can control their consistency, when it is required. At the end of this video, I will also provide, a Python code example, to explain this behavior. A process, is called deterministic, if, given the same input and context, it always produces, the exact same output. A process, is called non-deterministic, if, the same input and context, can sometimes produce, different outputs. LLM, is non-deterministic. When, LLM processes your input, and predicts the next token, (for example, word, sub-word, or character), it doesn’t directly output probabilities. Instead, it outputs, raw scores, called logits. The logits are assigned to, each possible next token, before applying any probability transformation. Logits, are nothing but vector of numbers. Temperature, is a parameter, used to scale logits, before converting them to, probabilities. It controls, how “confident” or “random”, the model behaves. Low temperature, makes the model, stick to the most likely answer. Therefore in this case model is more confident and repetitive. If, you are interested in exploring, more about Machine Learning, Data Science, and Large Language Models, Please use the links, in the description, of this video, for exploring more Questions and Answers, like This. Machine Learning & Data Science 600 Real Interview Questions https://www.udemy.com/course/master-m... Master Python: 600+ Real Coding Interview Questions https://www.udemy.com/course/python-a... Master LLM and Gen AI: 600+ Real Interview Questions https://www.udemy.com/course/llm-gena... My Blog / dhirajkumarblog #LLM #genai #ChatGPT #MachineLearning #DataScience #interviewquestions #python #pythonprogramming #pythoninterviewquestionsandanswers #LLM #GenAI #interviewquestions #InterviewPreparation