Done in context of a miniproject in the course AI applications at university of applied sciences OST, written by Nick Wallner, Mirio Eggmann The goal of this project is to use and evaluate OpenAI.

No one can deny the power of Machine Learning, and it is only growing. We are an increasingly AI-driven society, from voice assistants to robots to virtual reality. The AI artist can create imagery in any style within a single sentence.

As GPT-3 was released, one idea became obvious: Prompt Design is everything. GPT-3 as a language model needed a specific approach. It was a communication between humans and AI. You needed a text -- you had to inspire AI. Neither force it nor request -- but inspire, nudge the Transformer-driven model.

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron (previously Deep Science), aims to collect some of the most relevant recent discoveries and papers -- particularly in, but not limited to, artificial intelligence -- and explain why they matter. This week in AI, a team of engineers at the University of Glasgow developed "artificial skin" that can learn to experience and react to simulated pain. Elsewhere, researchers at DeepMind developed a machine learning system that predicts where soccer players will run on a field, while groups from The Chinese University of Hong Kong (CUHK) and Tsinghua University created algorithms that can generate realistic photos -- and even videos -- of human models. According to a press release, the Glasgow team's artificial skin leveraged a new type of processing system based on "synaptic transistors" designed to mimic the brain's neural pathways.

OpenAI's new Codex neural network writes software in response to text prompts.

An artificial intelligence program has developed its own language and no one can understand it. OpenAI is an artificial intelligence systems developer – their programs are fantastic examples of super-computing but there are quirks. DALLE-E2 is OpenAI's latest AI system – it can generate realistic or artistic images from user-entered text descriptions. DALLE-E2 represents a milestone in machine learning – OpenAI's site says the program "learned the relationship between images and the text used to describe them." A DALLE-E2 demonstration includes interactive keywords for visiting users to play with and generate images – toggling different keywords will result in different images, styles, and subjects.

An artificial intelligence program has developed its own language and no one can understand it. OpenAI is an artificial intelligence systems developer – their programs are fantastic examples of super-computing but there are quirks. DALLE-E2 is OpenAI's latest AI system – it can generate realistic or artistic images from user-entered text descriptions. DALLE-E2 represents a milestone in machine learning – OpenAI's site says the program "learned the relationship between images and the text used to describe them." A DALLE-E2 demonstration includes interactive keywords for visiting users to play with and generate images – toggling different keywords will result in different images, styles, and subjects.

Nine months since the launch of our first commercial product, the OpenAI API, more than 300 applications are now using GPT-3, and tens of thousands of developers around the globe are building on our platform. They also want a way to edit their address in checkout and save multiple payment methods." "GPT-3's ability to identify themes from natural language and generate summaries allows Viable to give product, customer experience, and marketing teams at companies across industries a better understanding of their customers' wants and needs," said Daniel Erickson, CEO of Viable. Algolia uses GPT-3 in their Algolia Answers product to offer relevant, lightning-fast semantic search for their customers. When the OpenAI API launched, Algolia partnered with OpenAI to integrate GPT-3 with their advanced search technology in order to create their new Answers product that better understands customers' questions and connects them to the specific part of the content that answers their questions. Algolia Answers helps publishers and customer support help desks query in natural language and surface nontrivial answers. "We've seen great results from Algolia Answers on questions that are difficult to answer with textual search alone," said Peter Buffington, Product Manager at ABC Australia. "It was able to return very relevant, evergreen content from our news archives for questions such as'Why does a volcano erupt?'" "GPT-3 allows Algolia to answer more complex queries than ever before with our Algolia Answers product, identifying deeper contextual information to improve the quality of results and deliver them in seconds," said Dustin Coates, Product and GTM Manager at Algolia. We require developers to implement safety measures such as rate limits, user verification and testing, or human-in-the-loop requirements before they move into production. Nine months since the launch of our first commercial product, the OpenAI API, more than 300 applications are now using GPT-3, and tens of thousands of developers around the globe are building on our platform. They also want a way to edit their address in checkout and save multiple payment methods."

Hardly a day goes by without another revelation of race, gender, and other biases being embedded in artificial intelligence systems. Just this month, for example, Silicon Valley's much-touted AI image generation system DALL-E disclosed that its system exhibits biases including gender stereotypes and tends "to overrepresent people who are White-passing and Western concepts generally." For instance, it produces images of women for the prompt "a flight attendant" and images of men for the prompt "a builder." In the disclosure, OpenAI, the entity that trained DALL-E, says it is only releasing the program to a limited group of users while it works on mitigating bias and other risks. Meanwhile, researchers using machine learning to examine electronic health records found that Black patients were more than twice as likely to be described in derogatory terms (like "resistant" or "noncompliant") in their patient records. And those are the types of records that often make up the raw material for future AI programs, like the one that aimed to predict patient-reported pain from X-ray data but was only able to make successful predictions for White patients.

DALLE-2 is a deep generative model that takes a text caption and generates images that match the given text. However, it has its limitations. Sample image generated using DALL·E 2. Image credit: OpenAI Researchers discover that this text is not random but reveals a hidden vocabulary that the model seems to have developed internally. Researchers find that words that sound gibberish for humans may have a meaning for DALLE-2; for example, Vicootes means vegetables. Researchers notice that a system behaving in unpredictable ways may cause security concerns.