Natural Language Generation (NLG) is a well studied subject among the NLP community. With the rise of deep learning methods, NLG has become better and better. Recently, OpenAI has pushed the limits, with the release of GPT-2 -- a Transformers based model that predicts the next token at each time space. Nowadays it's quite easy to use these models -- you don't need to implement the code yourself, or train the models using expensive resources. HuggingFace, for instance, has released an API that eases the access to the pretrained GPT-2 OpenAI has published.

Today, as AWS re:Invent begins, Amazon announced DeepComposer, a machine learning-driven keyboard aimed at developers. "AWS DeepComposer is a 32-key, 2-octave keyboard designed for developers to get hands on with Generative AI, with either pretrained models or your own," AWS' Julien Simon wrote in a blog post introducing the company's latest machine learning hardware. The keyboard is supposed to help developers learn about machine learning in a fun way, and maybe create some music along the way. The area involved in generating creative works in artificial intelligence is called "generative AI." In other words, it helps you teach machines to generate something creative using "generative adversarial networks."

We're releasing Procgen Benchmark, 16 procedurally-generated environments for measuring how quickly a reinforcement learning agent learns generalizable skills.

Where the training of machine learning models is concerned, there's always a risk of overfitting -- or corresponding to closely -- to a particular set of data. In point of fact, it's not infeasible that popular machine learning benchmarks like the Arcade Learning Environment encourage overfitting, in that they have a low emphasis on generalization. That's why OpenAI -- the San Francisco-based research firm cofounded by CTO Greg Brockman, chief scientist Ilya Sutskever, and others -- today released the Procgen Benchmark, a set of 16 procedurally-generated environments (CoinRun, StarPilot, CaveFlyer, Dodgeball, FruitBot, Chaser, Miner, Jumper, Leaper, Maze, BigFish, Heist, Climber, Plunder, Ninja, and BossFight) that measure how quickly a model learns generalizable skills. It builds atop the startup's CoinRun toolset, which used procedural generation to construct sets of training and test levels. "We want the best of both worlds: a benchmark comprised of many diverse environments, each of which fundamentally requires generalization," wrote OpenAI in a blog post.

Amazon Web Services likes to spice things up at its annual AWS re:Invent conference with unexpected hardware announcements, with past surprises such as a semi-truck for transporting data, a machine-learning camera, and a miniature self-driving race car. Now you can add a machine-learning-enabled musical keyboard to the list. Kicking off the event overnight in Las Vegas, the company introduced AWS DeepComposer, a 32-key, two-octave keyboard that the company holds up as an early example of "generative" artificial intelligence. "Generative AI is one of the biggest recent advancements in artificial intelligence technology because of its ability to create something new," Amazon explains on the AWS DeepComposer site. "It opens the door to an entire world of possibilities for human and computer creativity, with practical applications emerging across industries, from turning sketches into images for accelerated product development, to improving computer-aided design of complex objects."

Generative AI is one of the biggest recent advancements in artificial intelligence technology because of its ability to create something new. It opens the door to an entire world of possibilities for human and computer creativity, with practical applications emerging across industries, from turning sketches into images for accelerated product development, to improving computer-aided design of complex objects. Until now, developers interested in growing skills in this area haven't had an easy way to get started. Developers, regardless of their background in ML or music, can get started with Generative Adversarial Networks (GANs). This Generative AI technique pits two different neural networks against each other to produce new and original digital works based on sample inputs. With AWS DeepComposer, you can train and optimize GAN models to create original music.

As consumers are going on their shopping frenzy for Cyber Monday, tech enthusiasts are spending their time in Las Vegas at the AWS re:Invent conference, where Amazon unveils the latest gadgets and gizmos it has in the works. Excitingly enough, for day one on Monday, Amazon Web Services (AWS) and Julien Simon announced the world's first machine-learning-enabled musical keyboard for developers--AWS DeepComposer. Powered by machine learning, AWS DeepComposer allows developers of all skill levels to learn "Generative A.I." while creating original music outputs. In the world of artificial intelligence (A.I.), the most rapidly growing areas include computer vision, natural language processing, and of course, Generative AI. Generative A.I. is one of the biggest recent advancements in A.I. technology because of its ability to create something new by utilizing "generative adversarial networks."

Today, as AWS re:Invent begins, Amazon announced DeepComposer, a machine learning-driven keyboard aimed at developers. "AWS DeepComposer is a 32-key, 2-octave keyboard designed for developers to get hands on with Generative AI, with either pretrained models or your own," AWS' Julien Simon wrote in a blog post introducing the company's latest machine learning hardware. The keyboard is supposed to help developers learn about machine learning in a fun way, and maybe create some music along the way. The area involved in generating creative works in artificial intelligence is called "generative AI." In other words, it helps you teach machines to generate something creative using "generative adversarial networks."

OpenAI which is a nonprofit artificial intelligence firm founded by Elon Musk, has released an update to its GPT-2 text generator which is a new and stronger version of the conversational text-writing AI system, makes it even scarier. When it was first released in February, it was too dangerous for the public. Instead, they released a smaller one. But, it is six times better than the original one. For instance, to generate infinite fake positive, or negative, reviews – as if written by a real person.