In recent times, OpenAI has captivated the attention of tech enthusiasts and media alike. So, what is OpenAI, how did it come to be, and what are its standout products? Let's dive into the details with Mytour.
Understanding OpenAI
OpenAI is an artificial intelligence (AI) research laboratory with the mission to develop AI that is friendly and beneficial for humanity. Established by OpenAI LP and its non-profit parent company OpenAI Inc.
OpenAI is an artificial intelligence (AI) research laboratoryFounded in late 2015 in San Francisco by Sam Altman, Elon Musk, and others, OpenAI is committed to a total sponsorship of 1 billion USD.
In 2018, Elon Musk stepped down from the board, yet he continued to fund the organization's development.
By 2019, Microsoft and Matthew Brown Companies invested 1 billion USD in OpenAI LP. The company's headquarters is the Pioneer building in the Mission district, San Francisco.
The Formation History of OpenAI
Surely many of you are curious about how OpenAI came to be. Below is a concise summary of the formation history of OpenAI:
A Brief History of OpenAI Formation- December 2015: OpenAI announced its establishment by Elon Musk, Sam Altman, Greg Brockman, Jessica Livingston, Peter Thiel, Reid Hoffman, Amazon Web Services (AWS), Infosys, and YC Research. With a commitment to invest over 1 billion USD for joint ventures.
- April 2016: OpenAI publicly released the beta platform for reinforcement learning research, known as “OpenAI Gym.”
- December 2016: OpenAI introduced “Universe,” a software platform for training general AI intelligence globally on websites, providing games, and other applications.
- 2018: Musk resigned from the board but remained a sponsor.
- In 2019, OpenAI transitioned to a for-profit development status with a profit potential 100 times the investment. OpenAI collaborated with Microsoft and announced a 1 billion USD investment package in the company.
- In 2020, OpenAI unveiled GPT-3, a language model trained on billions of words from the Internet. They also announced a related API, serving as the foundation for their first commercial product.
- In 2021, DALL-E was introduced, a deep learning model capable of generating digital images based on textual descriptions.
- December 2022, the free preview of ChatGPT was launched and garnered widespread media attention.
Highlight OpenAI Products
Key OpenAI products include: OpenAI Gym, RoboSumo, Universe, Debate Game, data-generating models, Dactyl, and Video Game Bots. For more details about these products, you can refer to the information below.
OpenAI Gym
To establish a benchmark for general intelligence that is easily set up with various environments and more expansively, OpenAI Gym was introduced. This renowned ImageNet Large Scale Visual Recognition Challenge (ILSVRC) dataset is used in supervised and reinforcement learning research.
It is also employed to standardize how environments are defined in AI research publications, making it easy to reproduce published studies. The project was released with a straightforward interface for users and has been utilized with Python since June 2017.
OpenAI Gym is a benchmark for general intelligence easy to set up with various environmentsRoboSumo
RoboSumo consists of virtual super-learned humanoid robots unfamiliar with walking but tasked with learning how to move around and push opponents out of the arena. Through such adversarial learning, agents adapt to changing conditions.
When an agent is eliminated from a virtual environment and placed in a larger virtual environment with strong winds, the agent will attempt to stay upright, demonstrating its learned ability to balance generally.
RoboSumo consists of virtual super-learned humanoid robotsIgor Mordatch from OpenAI suggests that competition among agents could lead to an 'arms race' in artificial intelligence. This approach aids in developing the operational capabilities of an agent even when it's not in competition.
Universe
In December 2016, OpenAI introduced a new product called Universe. It's a software platform designed to measure and train the general intelligence of all AI worldwide. Primarily focused on websites, games, and various other applications.
Moreover, Universe will assist in training an AI agent to accomplish computer-based tasks.
Universe is software designed to measure and train the general intelligence of all AIDebate Game
In 2018, OpenAI released the Debate Game, a software that teaches machines to debate toy issues in front of a human audience. The purpose is to evaluate their approach, testing whether AI can provide explanations and assess their decisions.
Debate Game assesses debate skills through softwareProduction Data Models
According to disclosed information, there are currently a total of 9 production data models, each with its own goals and functional scope.
GPT
Alec Radford and colleagues announced the pre-training of a Generalized Language Model (GPT). On 11/06/2018, GPT was released as a preprint on the OpenAI website.
GPT is a generalized language model capable of assimilating world knowledge. It processes long-term algorithms and is pre-trained on diverse data with many consecutive long text passages.
GPT is a generalized language model capable of assimilating world knowledgeGPT-2
GPT-2 was announced in a limited version in February 2019, succeeding GPT as an unsupervised transformer language model. OpenAI later released the full language version of GPT-2 in November 2019.
GPT-2 is the successor to GPTGPT-3
GPT-3 is the successor to GPT-2, also an unsupervised transformer language model.
OpenAI introduced GPT-3 in May 2020 with a full version containing 175 billion parameters, two orders of magnitude larger than GPT-2's 1.5 billion (full version).
What sets OpenAI's GPT-3 apart? GPT-3 has excelled in some 'meta-learning' tasks. It can generalize the purpose of a single input-output pair. Microsoft obtained an exclusive license for the GPT-3 model on September 23, 2020.
GPT-3 is an unsupervised transformer language modelChatGPT
ChatGPT is an AI tool featuring a conversational interface allowing you to ask questions in any language. The system will automatically respond to queries within seconds. Launched in November 2022, ChatGPT reached 1 million users in just the first 5 days.
ChatGPT is an AI tool with a conversational interfaceAPI
In June 2020, OpenAI unveiled a versatile API. It serves to access new AI models developed by OpenAI, allowing developers to utilize the API for various English-language AI tasks.
Versatile APIMusic
OpenAI’s MuseNet (2019) is a deep neural network trained to predict the next notes in MIDI music files. It can generate songs in fifteen different styles with ten different instruments.
So, what about OpenAI’s Jukebox? It's an open-source algorithm for creating music with vocals. Trained on 1.2 million samples, the system can take lyrics, a genre, or an artist and produce song samples.
OpenAI’s MuseNet is a deep neural network trained to predict the next notesDall-E and Clip
What is OpenAI’s Dall-E? It's a Transformer model generating images from textual descriptions, announced by OpenAI in January 2021.
As for Clip, it creates a description for an image and can generate images of both real and non-existent objects.
Dall-E and Clip are examples of Transformer modelsMicroscope
OpenAI Microscope is a collection of images of important neurons and layers in eight different neural network models, extensively researched for interpretability.
Microscope is created to analyze the formative features within this neural network.
OpenAI Microscope is a collection of images of important neuronsCodex
OpenAI Codex represents the next generation after GPT-3, trained on code from a 54 million GitHub repository. Codex was announced in mid-2021 as AI powers the GitHub Copilot code completion tool.
A private beta API has been released, supporting over a dozen programming languages for generating functional code, with Python being the most effective.
OpenAI Codex is the successor to GPT-3Dactyl
Dactyl trains a human-like robotic hand called the Shadow Hand using machine learning to manipulate objects. It employs RL algorithms, trained code like OpenAI Five, and only learns in simulation.
By utilizing a random domain, OpenAI has tackled the object orientation problem. Instead of trying to match reality, this approach simulates diverse experiences for the learner.
Dactyl employs machine learning to manipulate objectsExploring OpenAI's products, besides the motion-tracking camera, Dactyl's setup includes an RGB camera. This product enables the robot to control an object by simply looking at it.
In 2018, OpenAI demonstrated the system's ability to control a hexagonal prism and a cuboid. In 2019, with only 60% of the time, OpenAI showcased Dactyl's Rubik's Cube-solving prowess.
Video Game Bots
The Video Game Bots model group developed by OpenAI includes two products: OpenAI Five and Gym Retro.
OpenAI Five
OpenAI Five is the name of a group consisting of five bots used in the 5v5 Dota 2 electronic game. Under OpenAI's management, these bots learn to play against human players through trial and error algorithms.
OpenAI Five is the name of a group consisting of five botsGym Retro
GYM Retro is a research platform for RL electronic game investigation. It is used to explore RL algorithms and generalization. Previously, RL research mainly focused on optimizing agents to handle single tasks. GYM Retro can generalize across different game genres but with similar concepts.
GYM Retro is a research platform for RL electronic gamesThrough this article, we hope you've gained some understanding of what OpenAI is, its formation process, and representative products. If you still have questions about this AI intelligence product, please leave a comment below. For more useful knowledge and information, stay tuned for the next articles on Mytour.
