In machine learning, parameters are the part of the model that's learned from historical training data.

OpenAI has already made some big changes to Codex, the AI-powered coding assistant the company announced last month. The system now accepts commands in plain English and outputs live, working code, letting someone build a game or web app without so much as naming a variable. A few lucky coders (and, one assumes, non-coders) will be able to kick the tires on this new Codex API in a free private beta. Codex is best thought of as OpenAI's versatile language engine, GPT-3, but trained only on code instead of ordinary written material. That lets it do things like complete lines of code or entire sections, but when it was announced it wasn't really something a non-coder would be able to easily interact with.

Two new AI models out this week show the power of artificial intelligence to read text, write it -- and even convert it into computer code. Why it matters: Natural language processing (NLP) is one of the most exciting areas in AI research, with major implications for how we'll communicate and work in the years ahead. Driving the news: On Wednesday morning, the Israeli startup AI21 Labs is releasing a line of language-generating AI models called Jurassic. How it works: Like other large language models, including GPT-3, the AI21 models have been trained on massive amounts of text, which enables the system to learn the statistical relationships between words and use that to read text prompts from users and write text in response. Situational awareness: On Tuesday, OpenAI itself released Codex, an updated descendant of its GPT-3 model, for a private developer beta test.

All the sessions from Transform 2021 are available on-demand now. That motivational speech a coach or business executive gives you might one day soon be generated by an AI assistant alongside other bits of timely advice and insight. SportsBettingDime, in collaboration with research lab OpenAI, has been experimenting with AI in the form of a GPT-3 text editor to emulate a coach that provides both play-calling advice and motivational speeches based on the situation a team is currently facing. GPT-3 is an AI language model developed by OpenAI that employs a Transformer model to create content in any voice, style, or tone by leveraging assets freely available on the internet. The basic idea is to aggregate play calls made by other head coaches facing similar situations alongside all the best motivational speeches ever given by head coaches.

AI research company OpenAI is releasing a new machine learning tool that translates the English language into code. The software is called Codex and is designed to speed up the work of professional programmers, as well as help amateurs get started coding. In demos of Codex, OpenAI shows how the software can be used to build simple websites and rudimentary games using natural language, as well as translate between different programming languages and tackle data science queries. Users type English commands into the software, like "create a webpage with a menu on the side and title at the top," and Codex translates this into code. The software is far from infallible and takes some patience to operate, but could prove invaluable in making coding faster and more accessible. "We see this as a tool to multiply programmers," OpenAI's CTO and co-founder Greg Brockman told The Verge.

This paper proposes a new self-attention based model for music score infilling, i.e., to generate a polyphonic music sequence that fills in the gap between given past and future contexts. While existing approaches can only fill in a short segment with a fixed number of notes, or a fixed time span between the past and future contexts, our model can infill a variable number of notes (up to 128) for different time spans. We achieve so with three major technical contributions. First, we adapt XLNet, an autoregressive model originally proposed for unsupervised model pre-training, to music score infilling. Second, we propose a new, musically specialized positional encoding called relative bar encoding that better informs the model of notes' position within the past and future context. Third, to capitalize relative bar encoding, we perform look-ahead onset prediction to predict the onset of a note one time step before predicting the other attributes of the note. We compare our proposed model with two strong baselines and show that our model is superior in both objective and subjective analyses.

Imagine using this in schools -- playing around with Codex, kids will fall in love with code. And I can assure you, they won't transform themselves into those lazy folks from WALL-E, they will research and encounter. Codex enables people who don't code to dive in, try things out, and implement their ideas. Artists, teachers, many other people whose profession doesn't involve coding languages will create their approaches and fulfill their visions. It also will help coders with short try&break brainstorming experiments without investing hours into programming "just to try out".

All the sessions from Transform 2021 are available on-demand now. In January, OpenAI released Contrastive Language-Image Pre-training (CLIP), an AI model trained to recognize a range of visual concepts in images and associate them with their names. CLIP performs quite well on classification tasks -- for instance, it can caption an image of a dog "a photo of a dog." But according to an OpenAI audit conducted with Jack Clark, OpenAI's former policy director, CLIP is susceptible to biases that could have implications for people who use -- and interact -- with the model. Prejudices often make their way into the data used to train AI systems, amplifying stereotypes and leading to harmful consequences.

OpenAI has already made some big changes to Codex, the AI-powered coding assistant the company announced last month. The system now accepts commands in plain English and outputs live, working code, letting someone build a game or web app without so much as naming a variable. A few lucky coders (and, one assumes, non-coders) will be able to kick the tires on this new Codex API in a free private beta. Codex is best thought of as OpenAI's versatile language engine, GPT-3, but trained only on code instead of ordinary written material. That lets it do things like complete lines of code or entire sections, but when it was announced it wasn't really something a non-coder would be able to easily interact with.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner At what stage of development are #artificialintelligence and #machinelearning now? We're living exciting times in the Narrow AI of Statistic ML/DL to be replaced by the Causal AI/ML/DL. Are there any new breakthrough results? OpenAI shocked the world a year ago with GPT-3. Google presented LaMDA and MUM, two AIs that will revolutionize chat-bots and the search engine, respectively.