With the hype around OpenAI and its newest released model, GPT-4, which is a language model trained on artificial training sets and openly available data, everyone is looking at OpenAI and what is going on behind the walls of the world's most advanced artificial intelligence (AI) company and research lab.
That is why I decided to give you a glimpse into what OpenAI is and what you should know right now. Whether you are a journalist doing research digging deeper into AI's surprising history, a tech enthusiast, a top AI researcher, or simply curious about the state of artificial intelligence, this post is sure to have something of interest to you.
So let's get started! But first, let's answer one very important question:
What is OpenAI?
OpenAI is one of the leading AI technology companies in the field of artificial intelligence, known for developing AI and engaging in ongoing AI research and cutting-edge work in machine learning, deep learning, and natural language processing.
It was founded in 2015 by a group of entrepreneurs and researchers with the goal of advancing AI systems in a way that can benefit humanity and society. Some of the research areas that OpenAI focuses on include machine learning, deep learning, robotics, natural language processing, and more.
The company has made numerous notable contributions to the field of artificial intelligence, including the creation of advanced machine learning algorithms and the development of powerful AI language models like GPT-4.
When was OpenAI founded?
The company was founded in San Francisco on December 11th, 2015 by Sam Altman, Elon Musk, and others.
Who are the Founders of OpenAI?
Elon Musk (left in 2018), Sam Altman, Ilya Sutskever, Greg Brockman, Wojciech Zaremba, John Schulman.
Where is the headquarter of OpenAI?
Pioneer Building, San Francisco, California
What has OpenAI made?
1. GPT-4: GPT-4 (short for "Generative Pre-trained Transformer 4") is an advanced artificial intelligence language model and represents a significant leap over its predecessor, GPT-3, in terms of complexity and capabilities. It can perform a wide variety of tasks, including answering questions, writing essays, summarizing long texts, translating languages, and even generating code.
2. GPT-3: GPT-3 is a large language model, which OpenAI announced in June 2020. Similar to GPT-4 it can generate human-like text and perform various language tasks such as language translation, summarization, and question answering. However, compared to GPT-4 it has far fewer parameters, making it less applicable to complicated tasks.
2. ChatGPT: ChatGPT is a variant of GPT language models that is specifically designed for chatbot applications. It can generate human-like responses to user input in real-time conversations. OpenAI launched the application in December 2022 to the public, generating over a million signups in the first five days.
3. DALL-E 2: DALL-E 2 is a neural network that generates images from natural language descriptions, using a process known as "text-to-image synthesis."
4. Whisper: Whisper is an automatic speech recognition (ASR) system OpenAI released in September 2022. It is trained on 680,000 hours of multilingual and multitask supervised data collected from the web, which leads to improved robustness to accents, background noise, and technical language.
5. OpenAI Gym: OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms, allowing OpenAI to determine AI's general intelligence. It includes a variety of environments for testing and evaluating agents.
What is OpenAI valuation?
According to recent news articles OpenAI seeks to be valued at $90 billion ( November 2023) by selling existing shares shortly. This would lead to a valuation of three times as much as at the beginning of the year.
How much funding has OpenAI received?
OpenAI has raised over $11.3 billion in funding in a total of 8 rounds from investors such as Microsoft, Khosla Ventures, and Elon Musk (2023).
How many employees does OpenAI have?
The current number of employees is 524 (2023).
How many weekly active users (WAU) does OpenAI have?
OpenAI announced that currently, 100 million users are using ChatGPT, which makes up 98% of user traffic, every week (2023).
How many parameters does GPT-4 have?
GPT-4 AI model utilizes a transformer model that consists of 170 trillion parameters, or weights and nodes, arranged in a specific configuration.
This complex network of nodes and layers enables GPT-4 to generate high-quality text and perform a wide range of language tasks with a high degree of accuracy.
Can Google detect GPT-4 content?
GPT-4's performance is often indistinguishable from that of a human in certain contexts, showcasing its sophisticated grasp of nuances in language. Language models like GPT-4 are designed to produce output that sounds like human generated text, and as a result, it can be difficult for algorithms to accurately identify AI-generated content.
However, it is possible that Google's algorithms could potentially detect content generated by GPT-4 or other AI systems/language models, by using certain cues or patterns to identify AI-generated content.
For example, the style or structure of the text might be different from that of text written by a human, or there might be certain repetitive patterns or anomalies that could serve as indicators of AI-generated content.
However, it is likely that such methods would not be foolproof and could potentially result in false positives or false negatives.
What is GPT-4 used for?
OpenAI's language AI model GPT-4 has a wide range of potential use cases, including:
- Natural language generation: GPT-4 can generate human-like text, which can be used to create content for websites, social media posts, and other applications.
- Language translation: GPT-4 can translate text from one language to another with a high degree of accuracy.
- Text summarization: GPT-4 can automatically generate summarized versions of long pieces of text, making it easier for people to quickly understand the key points of an article or document.
- Chatbots: GPT-4 can be used to build chatbots that can understand and respond to user input in a natural way.
- Text classification: GPT-4 can be used to classify text into different categories, such as spam or not spam, positive or negative sentiment, and so on.
- Coding Assistance: GPT-4 can help programmers write and debug code.
- Visual Data Analysis: GPT-4 can interpret visual data and provide insights or classifications based on the content of the images.
These are just a few examples of the many potential use cases for GPT-4. As a highly versatile and one of the most powerful AI models, it has the potential to be used in a wide range of applications that require the ability to understand and generate human-like text.
Is GPT-4 an API?
Yes, the AI model GPT-4, which OpenAI released in March 2023, is available as an API, which allows developers to access the language processing capabilities of the GPT-4 model in their applications.
To use the GPT-4 API, developers need to sign up for an API key and then make HTTP requests to the API using the appropriate endpoints.
Can I use OpenAI for free?
When you create an OpenAI account, you will receive an initial credit worth $18. This credit should be sufficient for a long period, as the cost of using this model is roughly $0.0020 per 1000 words generated.
However, it is important to mention that this free preview and usage of OpenAI models is only applicable to Base models, including GPT-3. In case you would like to access GPT-4 or even OpenAI's Turbo LLMs, you can do so by becoming a ChatGPT Plus subscriber ($20/month) or by using an OpenAI API.
Which apps use GPT-4?
According to OpenAI, 300 applications were developed based on GPT-3 within the first 9 months of its publication. Due to its recent hype of ChatGPT, this number is most certainly much higher now, especially with the release of GPT-4, which
Some of the AI tools that are based on GPT-4 are listed below:
How many words does GPT-4 generate daily?
In 2021, the algorithm generated an average of 4.5 billion words daily, clearly indicating that this number must be much higher now.
What research output has OpenAI published?
The organization has published over 400 research papers and released numerous open-source tools and natural language processing models, including, ChatGPT, GPT-4, Whisper, and DALL-E 2.
What collaboration does OpenAI have?
OpenAI has partnerships and collaborations with leading tech companies such as Google, Microsoft, and Facebook, as well as academic institutions like Stanford University and the University of Oxford.
How has OpenAI changed the industry?
OpenAI's research and technology have had a significant impact on the AI industry and have been widely adopted by companies and researchers around the world.
By making its models available to developers and organizations through the usage of APIs, OpenAI shifted AI technology development towards greater democratization. While this is beneficial for profit status, it also allows other organizations to have access to generative models without having to invest heavily in building models themselves from scratch.
Is OpenAI owned by Microsoft?
No, OpenAI is an independent research institute that is not owned by Microsoft. However, Microsoft is one of the organization's major partners and has provided financial support for its research efforts.
In addition, Microsoft and OpenAI have worked together on several projects in the space of artificial intelligence, such as integrating OpenAI's GPT-4 language model with Microsoft's Azure platform. Many professionals working with Azure have also benefited from a specialized Azure course, which help them to effectively leverage AI-powered tools and services in the Azure ecosystem.
Does Elon Musk still own OpenAI?
Elon Musk was one of the co-founders of OpenAI, but he is no longer officially affiliated with the company.
While Musk was an initial major investor and supporter of the organization, he stepped down from the board of directors in 2018, thus Musk subsequently left OpenAI and is no longer involved in the day-to-day operations of the company.
Leo is the Head of Growth at Jamie, a company on a mission to eliminate busy work for modern knowledge workers. With a deep-rooted passion for self-development, SEO, growth strategies, and product-led growth (PLG), Leo spearheads all growth initiatives at Jamie. His expertise drives Jamie’s journey toward scaling impact, focusing on innovative growth strategies that align with the company's vision.
Read more
3 min to save 1000 hours
Download Jamie now
Start your meeting
Super-charge your workday