Prompt Engineering Fundamentals

Prompt Engineering = The fundamental aspect of building software applications with LLMs Few-shot learning = A technique where we provide a cultural reference for the LLM to understand Memetic Proxy = Providing additional context to the LLM in the form of examples Chain of Thought = Forcing the LLM to provide a rationale for its answer

LLM = A function that modifies the input variable Prompt = An input variable for the LLM Output = The result of the LLM's modification Function = A programming construct used to build software applications

Self-Consistency = To ensure the model gives consistent responses to the same question Inception = To force the LLM to provide a rationale for its answer Chain of Thought = To provide additional context to the LLM in the form of examples Few-shot learning = To build software applications with LLMs

<p>Inception = A type of zero-shot Chain of Thought Chain of Thought = A type of few-shot learning technique Few-shot learning = A technique used in prompt engineering Memetic Proxy = A type of self-consistency technique</p> Signup and view all the answers

<p>Plan and Execute = A technique used in prompt engineering for LLMs React = A technique used in prompt engineering for LLMs Self-ask = A technique used in prompt engineering for LLMs Elements of a Prompt = A fundamental aspect of building software applications with LLMs</p> Signup and view all the answers

<p>LLM = A type of function that takes input and provides output Prompt = A type of input variable for the LLM Output = A type of result of the LLM's modification Function = A type of programming construct used in few-shot learning</p> Signup and view all the answers

<p>Inception = To provide a cultural reference for the LLM to understand Self-Consistency = To force the LLM to provide a rationale for its answer Chain of Thought = To ensure the model gives consistent responses to the same question Memetic Proxy = To build software applications with LLMs</p> Signup and view all the answers

<p>Prompt Engineering = A fundamental aspect of few-shot learning Few-shot learning = A technique used in Chain of Thought Chain of Thought = A type of prompt engineering technique Memetic Proxy = A type of self-consistency technique</p> Signup and view all the answers

<p>Plan and Execute = A technique used in prompt engineering to build software applications React = A technique used in prompt engineering to provide a rationale for the answer Self-ask = A technique used in prompt engineering to provide additional context Elements of a Prompt = A technique used in prompt engineering to ensure self-consistency</p> Signup and view all the answers

<p>To serve as an input variable</p> Signup and view all the answers

<p>To provide additional context to the LLM in the form of examples</p> Signup and view all the answers

<p>To provide a cultural reference or an analogy for the LLM</p> Signup and view all the answers

<p>To force the LLM to provide a rationale for its answer</p> Signup and view all the answers

<p>To run multiple times a Chain of Thought prompt with the same question and choose the answer that comes up most often</p> Signup and view all the answers

<p>The zero-shot Chain of Thought</p> Signup and view all the answers

<p>One forces the LLM to provide a rationale and the other chooses the most frequent answer</p> Signup and view all the answers

<p>It allows for building software applications with LLMs</p> Signup and view all the answers

<p>The prompt is the input variable and the LLM is the function</p> Signup and view all the answers