3. Prompt Engineering Basics

Question 1

API integration

Answer 1

Application programming interface integration refers to the process of connecting different software systems or applications through their APIs to enable them to work together and share data or functionality.

Question 2

Bias mitigation

Answer 2

A technique in which text prompts provide explicit instructions to generate neutral responses.

Question 3

Chain-of-Thought

Answer 3

An approach to prompt engineering that involves breaking down a complex task into smaller and easier ones through a sequence of more straightforward prompts.

Question 4

ChatGPT

Answer 4

A language model designed to provide detailed responses to natural language input.

Question 5

Claude

Answer 5

A powerful and flexible AI chatbot to help you with your tasks.

Question 6

Contextual guidance

Answer 6

A technique using which text prompts provide specific instructions to the LLMs to generate relevant output.

Question 7

DALL-E

Answer 7

Text-to-image model that generates digital images from natural language descriptions.

Question 8

Domain expertise

Answer 8

A technique wherein text prompts can use domain-specific terminology to generate content in specialized fields like medicine, law, or engineering, where accuracy and precision are crucial.

Question 9

Dust

Answer 9

A prompt engineering tool that provides a web user interface for writing prompts and chaining them together.

Question 10

Explainability

Answer 10

Refers to the degree to which a user can understand and interpret the model’s decision-making process and the reasons behind its generated outputs.

Question 11

Few-shot prompting

Answer 11

A method that enables context learning, wherein demonstrations are provided in the prompt to steer the model to better performance.

Question 12

Framing

Answer 12

A technique by which text prompts guide LLMs to generate responses within the required boundaries.

Question 13

Generative AI

Answer 13

A type of artificial intelligence that can create new content, such as text, images, audio, and video.

Question 14

Generative AI models

Answer 14

Models that can understand the context of input content to generate new content. In general, they are used for automated content creation and interactive communication.

Question 15

GPT

Answer 15

Generative pre-trained transformers or GPT are a family of neural networks that uses transformer architecture to create human-like text or content as output.

Question 16

IBM watsonx.ai

Answer 16

A platform of integrated tools to train, tune, deploy, and manage foundation models easily.

Question 17

Integrated Development Environment (IDE)

Answer 17

A software tool for crafting and executing prompts that engage with language models.

Question 18

Input data

Answer 18

Any piece of information provided as part of the prompt.

Question 19

Interview pattern approach

Answer 19

A prompt engineering strategy that involves designing prompts by simulating a conversation or interacting with the model in the style of an interview.

Question 20

LangChain

Answer 20

A Python library that provides functionalities for building and chaining prompts.

Question 21

Large language models (LLMs)

Answer 21

A type of deep learning model trained on massive amounts of text data to learn the patterns and structures of language. They can perform language-related tasks, including text generation, translation, summarization, sentiment analysis, and more.

Question 22

Midjourney

Answer 22

A text-to-image model that generates images from natural language requests.

Question 23

Naive prompting

Answer 23

Asking queries from the model in the simplest possible manner.

Question 24

Natural language processing (NLP)

Answer 24

A branch of artificial intelligence that enables computers to understand, manipulate, and generate human language (natural language).

Question 25

OpenAI Playground

Answer 25

A web-based tool that helps to experiment and test prompts with various models of OpenAI, such as GPT.

Question 26

Output indicator

Answer 26

Benchmarks for assessing the attributes of the output generated by the model.

Question 27

Prompt

Answer 27

Instructions or questions given to a generative AI model to generate new content.

Question 28

Prompt engineering

Answer 28

The process of designing effective prompts to generate better and desired responses.

Question 29

PromptBase

Answer 29

A marketplace for selling and buying prompts.

Question 30

Prompt lab

Answer 30

A tool that enables users to experiment with prompts based on different foundation models and build prompts based on their needs.

Question 31

PromptPerfect

Answer 31

A tool used to optimize prompts for different LLMs or text-to-image models.

Question 32

Role-play/Persona pattern

Answer 32

Specific format or structure for constructing prompts that involve the perspective of a character or persona.

Question 33

Scale AI

Answer 33

A technology company that specializes in data labeling and data annotation services.

Question 34

Stable Diffusion

Answer 34

A text-to-image model that generates detailed images based on text descriptions.

Question 35

StableLM

Answer 35

An open-source language model based on a dataset that contains trillions of tokens of content.

Question 36

Tree-of-Thought

Answer 36

An approach to prompt engineering that involves hierarchically structuring a prompt or query, akin to a tree structure, to specify the desired line of thinking or reasoning for the model.

Question 37

User feedback loop

Answer 37

A technique wherein users provide feedback to text prompts and iteratively refine them based on the response generated by the LLM.

Question 38

Zero-shot prompting

Answer 38

A method using which generative AI models generate meaningful responses to prompts without needing prior training on those specific prompts.