Prompt Engineering: Inputs That Direct Large Language Models
Large language models such as ChatGPT and Claude rely on prompts as text inputs to generate responses, and prompt engineering optimizes these inputs, with the global market valued at USD 505.43 million in 2025.
A prompt is a natural language text that requests generative AI to perform a specific task.
A prompt is a natural language text that requests generative AI to perform a specific task.
What is a prompt in the context of large language models?
OpenAI states that a prompt for a Large Language Model (LLM) is a text input that initiates a conversation or triggers a response from the model.
OpenAI further notes that a prompt can be in other forms such as an image or audio.
Google Cloud explains that in the context of AI, a prompt is the input you provide to the model to elicit a specific response.
Google Cloud adds that this input can take various forms ranging from simple questions or keywords to complex instructions, code snippets, or even creative writing samples.
AWS defines a prompt as a natural language text that requests the generative AI to perform a specific task.
What is prompt engineering and why does it matter?
OpenAI describes prompt engineering as the process of designing and optimizing input prompts to effectively guide a language model's responses.
Google Cloud refers to prompt engineering as the art and science of designing and optimizing prompts to guide AI models, particularly LLMs, towards generating the desired responses.
AWS describes prompt engineering as the process where you guide generative artificial intelligence solutions to generate desired outputs.
What does the market data indicate about prompt engineering?
The valuation reflects growing interest in techniques that improve interactions with models from providers including OpenAI, Google Cloud and AWS.
What did OpenAI's CEO say about questions in the age of AI?
Sam Altman, CEO of OpenAI, highlighted the growing value of question formulation when working with advanced AI systems.
Figuring out what questions to ask will be more important than figuring out the answer.Sam Altman, CEO of OpenAI
How do the definitions from major providers compare?
| Provider | Prompt Definition | Prompt Engineering Definition |
|---|---|---|
| OpenAI | A prompt for a Large Language Model (LLM) is a text input that initiates a conversation or triggers a response from the model. However, it can be in other forms such as an image or audio. | Prompt engineering is the process of designing and optimizing input prompts to effectively guide a language model's responses. |
| Google Cloud | In the context of AI, a prompt is the input you provide to the model to elicit a specific response. This can take various forms, ranging from simple questions or keywords to complex instructions, code snippets, or even creative writing samples. | Prompt engineering is the art and science of designing and optimizing prompts to guide AI models, particularly LLMs, towards generating the desired responses. |
| AWS | A prompt is a natural language text that requests the generative AI to perform a specific task. | Prompt engineering is the process where you guide generative artificial intelligence solutions to generate desired outputs. |
What sequence of considerations supports effective prompt use?
- Review the core definition of a prompt as text that initiates a model response.
- Account for additional forms such as images or audio where supported.
- Apply prompt engineering to design and optimize inputs for desired outputs.
- Consider market data showing valuation at USD 505.43 million in 2025 when planning adoption.