OpenAI: Definition and Examples
OpenAI is an American artificial intelligence research and deployment company, founded in 2015, best known for creating ChatGPT and the GPT model series.
Full definition
OpenAI is an American organization specializing in artificial intelligence research and development. Founded in December 2015 by Sam Altman, Elon Musk, Greg Brockman, and other tech figures, it was initially created as a non-profit research laboratory with the ambition to develop AI that is 'safe and beneficial for humanity.' The company has since evolved into a hybrid model incorporating a capped for-profit entity.
OpenAI is responsible for several major advances in the field of generative AI. Its series of GPT (Generative Pre-trained Transformer) models redefined the capabilities of natural language processing. The launch of ChatGPT in November 2022 marked a turning point in the democratization of AI, making large language models accessible to the general public and triggering a real AI race among tech giants.
Beyond language models, OpenAI has developed DALL-E for image generation, Whisper for speech transcription, and Sora for video generation. The company also offers an API that allows developers to integrate its models into their own applications, making it a central player in the prompt engineering ecosystem.
In the context of prompt engineering, OpenAI holds a fundamental place because its GPT models have largely contributed to popularizing this discipline. Prompting techniques like chain-of-thought, few-shot learning, or system prompting have been largely developed and documented around its models, even though they now apply to all large language models.
Etymology
The name 'OpenAI' combines 'Open' and 'AI' (Artificial Intelligence). This choice reflected the organization's initial mission: to make artificial intelligence research open and accessible to all, as opposed to the closed research labs of large tech companies. Ironically, the company has been criticized for gradually moving away from this openness philosophy by no longer systematically publishing its models as open source.
Concrete examples
Using the OpenAI API to generate content
You are an expert marketing copywriter. Write a product description for a high-end wireless headset, highlighting comfort and sound quality.
Model comparison to choose the right tool
Compare the advantages and disadvantages of OpenAI's GPT-4o and Anthropic's Claude models for a long legal document analysis task.
Integrating an OpenAI model into an application via the API
As a developer, write a Python script using the OpenAI API to automatically summarize news articles into 3 bullet points.
Practical usage
In prompt engineering, knowing OpenAI and its models is essential to choosing the right tool for your use case. Each model (GPT-4o, GPT-4o mini, o1, o3) has different strengths in terms of reasoning, speed, and cost. Mastering the specifics of the OpenAI API — such as system/user/assistant roles, temperature, or tokens — allows you to optimize your prompts and obtain more accurate and consistent results.
Related concepts
FAQ
What is the difference between OpenAI and ChatGPT?
Do prompt engineering techniques for OpenAI work with other models?
Which OpenAI model should I choose for prompt engineering?
See also
How to use this prompt
- Copy the prompt with the button above.
- Paste it into ChatGPT, Claude or your favorite AI assistant.
- Replace the bracketed variables with your details, then refine the result.
About Prompt Guide
Prompt Guide is a free library of 2500+ ready-to-use prompts for ChatGPT, Claude and other AIs, with guides to learn prompting and tools to build and optimize your own prompts.
More definitions
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P Tuning: Definition and Examples
P-Tuning is a technique for adapting large language models by optimizing continuous embeddings ("learnable prompts") inserted into the input, without modifying the model's weights.
Parallel Tool Calls: Definition and Examples
A language model's ability to invoke multiple tools or functions simultaneously in a single response, rather than calling them sequentially one by one
Perplexity Metric: Definition and Examples
Perplexity is an evaluation metric for language models that measures how "surprised" a model is by a given text. The lower the perplexity, the more effectively the model predicts the word sequence.
Persona Prompting: Definition and Examples
A prompt engineering technique that involves assigning a specific role, identity, or character to the AI to guide the style, tone, and expertise of its responses.
Phi 3: Definition and Examples
Phi 3 is a family of small language models (SLMs) developed by Microsoft Research, designed to deliver performance close to large models while being compact enough to run on local devices.
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