Bard can assist users in achieving their goals by giving them tips on how to read more books, explain quantum physics in simple terms, or create outlines for their blog posts. The AI tool is powered by a research large language model (LLM), which is a lightweight and optimized version of LaMDA. Bard will be updated with newer and more capable models over time. LLMs are prediction engines that generate responses by selecting one word at a time from words that are likely to come next. Picking the most probable choice every time would not lead to creative responses, so there's some flexibility factored in.

Google has opened limited public access to its Bard AI chatbot service – the company's official entry into the tech industry's race to deploy AI chatbots such as ChatGPT and Microsoft's Bing chatbot. Anyone can currently join a wait list to participate in what Google describes as "an early experiment that lets you collaborate with generative AI", according to a company blog post published on 21 March.

Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. What would a week be like without generative AI news from Microsoft? Today, Microsoft announced that it is bringing Image Creator to the new Bing preview, and new AI-powered visual Stories and updated Knowledge Cards to all Bing users. Bing Image Creator, which will be available starting today in the new Bing preview on desktop and mobile, as well as in Edge, is powered by an "advanced" version of OpenAI's DALL-E model (Hmm…is DALL-E 3 on the way?). By typing in a description of an image, providing additional context like location or activity, and choosing an art style, Image Creator will generate an image.

Today, Microsoft begins integrating AI art into its AI-powered Bing Chat chatbot with Bing Image Creator…and it's surprisingly good. Microsoft began previewing Image Creator last fall in select markets, and its generative AI art later became the foundation for Microsoft Designer, the excellent design application that also uses AI art to help create templates, flyers, and simple greeting cards. Today, Bing Image Creator will begin integrating with Bing Chat's textual chatbot, but also generate images at its own site, Bing.com/create . Put another way, that means that you'll be able to ask Bing's chatbot to create your own images from an integrated text prompt within Bing Chat, or else use the dedicated site. There's a third option, too: Use the new Edge Copilot sidebar within Microsoft Edge, which has been used for textual generation via AI.

Bill Gates published an op-ed on Tuesday saying that the artificial intelligence (AI) technology behind tools like ChatGPT could be as revolutionary as the graphical user interface was in 1980. The graphical user interface was the prototype to modern operating systems like Windows and Mac. Now, Gates says AI will lead to all sorts of similarly massive changes in the coming decades. "The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone," he wrote. "It will change the way people work, learn, travel, get health care, and communicate with each other."

At Adobe Summit on March 21, 2023, Adobe announced and delivered its generative AI offering known as Adobe Firefly. Adobe Firefly (In beta), is a collection of generative AI models built for creative applications. The offering joins the platform's AI services. Adobe plans to integrate Firefly into their Creative Cloud, Document Cloud, and Adobe Express product lines. Future models will target additional use cases and content types, potentially leveraging other technology and training data.

Unlike OpenAI's viral hit ChatGPT, which is freely accessible to the general public, GPT-4 is currently accessible only to developers. It's still early days for the tech, and it'll take a while for it to feed through into new products and services. Still, people are already testing its capabilities out in the open. Here are my top picks of the fun ways they're doing that. In an example that went viral on Twitter, Jackson Greathouse Fall, a brand designer, asked GPT-4 to make as much money as possible with an initial budget of $100.

From OpenAI's ChatGPT to Google's creation of its own ChatGPT version (Bard), artificial intelligence is set to revolutionise everything in the modern world. How much are corporate investors willing to put their money at risk with AI technology? And which companies get the lion's share of these investments? To answer these questions, writerbuddy.ai The data was collected from CrunchBase, NetBase Quid, S&P Capital IQ, and NFX.

Last fall, when generative AI abruptly started turning out competent high-school- and college-level writing, some educators saw it as an opportunity. Perhaps it was time, at last, to dispose of the five-paragraph essay, among other bad teaching practices that have lingered for generations. Universities and colleges convened emergency town halls before winter terms began to discuss how large language models might reshape their work, for better and worse. But just as quickly, most of those efforts evaporated into the reality of normal life. Educators and administrators have so many problems to address even before AI enters the picture; the prospect of utterly redesigning writing education and assessment felt impossible.

The age of enterprise AI has come crashing down upon us in recent months. Public infatuation with ChatGPT since its release last November has opened the floodgates of corporate interest and set off an industry-wide land grab with every major tech entity vying to stake their claim in this burgeoning market by incorporating generative AI features into their existing products. Heavyweights including Google, Microsoft, Meta, and Baidu are already jockeying their Large Language Models (LLMs) for market dominance, while everybody else, from Adobe and AT&T to BMW and BYD, scrambles to find uses for the revolutionary technology. NVIDIA's newest cloud services offering, AI Foundations, will allow businesses lacking the time and money to develop their own models from scratch to "to build, refine and operate custom large language models and generative AI models that are trained with their own proprietary data and created for their unique domain-specific tasks." These models include NeMo, NVIDIA's text-to-image generation engine and DALL-E 2 competitor; BioNemo, a drug and molecule discovery-focused fork of the NeMo model built for the medical research community; and Picasso, an AI capable of generating images, video and "3D applications… to supercharge productivity for creativity, design and digital simulation," according to Tuesday's release.