In 2015, Elon Musk founded the nonprofit OpenAI. His goal was to create AI tools that were more open and accessible to everyone. However, in 2019, OpenAI changed its status to for-profit. It now partners with companies like Microsoft and announced the GPT-3 language model that can generate and classify text, generating blog ideas, and summarizing information. With this API, you can create marketing content production sites or real-time tweet classification engines.
The OpenAI gym environment is an ideal place to test deep learning methods, such as reinforcement learning. While the gym offers a variety of environments, it is best suited for testing reinforcement learning algorithms. It is possible to create your own environments, which is another great benefit. With OpenAI Gym, you can customize the environment to fit your needs. In part two of this series, we’ll look at reinforcement learning. In the meantime, check out the free-ML Showcase and learn how to use it.
After the announcement, OpenAI shed its nonprofit status and formed a for-profit arm with a 100-fold limit on investor returns. Then, the company announced a billion-dollar investment from Microsoft. The investment was split between cash and Azure credits. The leadership team responded to employee concerns by writing an FAQ that was part of the highly guarded transition documents. The openness of the process was welcomed, however, since it created a more cohesive team.
OpenAI researchers also developed a tool that can generate art, aiming to democratize the creation of art. OpenAI’s DALL-E image generation software was launched in early 2021. DALL-E is meant to reference the famous Pixar movie WALL-E and is a play on the word “dali” by Salvador Dali. OpenAI software can now create photo-quality high-resolution images with realistic shadows and shading.
OpenAI’s DALL-E 2 captioning algorithm is less susceptible to tricks than other algorithms. OpenAI researchers made this algorithm to ignore objectionable material, and the results were not as accurate as they could have been. They also incorporated a watermark that identifies the content as AI-generated. Users can also crop out the watermark. In addition, OpenAI cannot generate recognizable faces based on paintings or names.
Codex is an AI programmer technology that OpenAI announced Tuesday. Codex is a deep learning model that has the capacity to generate large language models, resolve references, and write code for APIs and microtasks. By consuming the API, developers can build their own AI programs without having to hire expensive software developers. This software also helps companies implement machine learning algorithms. It can also be used to create games and websites. The best way to get started is to watch a demo of Codex in action.
The OpenAI strategy is divided into two parts, the first part determining how to reach advanced AI capabilities. The second part is a series of bets, each team betting on different theories. For example, the language team is betting on the theory that AI can learn through language, while the robotics team is betting that intelligence needs physical embodiment. By following the strategy, OpenAI has the opportunity to achieve both goals. But a key concern for developers is the lack of representation from minority groups.