Artificial intelligence is the holy grail of the information age and the hot topic du jour. The hype was triggered by the revolutionary chatbot ChatGPT, which has turned our concept of non-human intelligence on its head. With a few key words, the AI creates seemingly authentic essays that stand up to critical scrutiny, produces code in various programming languages, and gives brilliant answers in dialog-based exchanges. ChatGPT is already writing adverts for Ryan Reynolds, and even the almighty Google could be put under pressure by the intelligent software, as suspected by Der Spiegel. However, with Gemini, the search engine king has long since launched its own high-performance AI.

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Artificial intelligence (AI) has become the buzzword of the moment in the tech industry, especially after OpenAI launched its now infamous chatbot ChatGPT. Since then, a spotlight has been shone on how AI has been constantly transforming the way we live, work, and interact with the world around us. Its uses are endless thanks to the constant upgrade of AI tools; from content creation to image generation, the sky's the limit. With it no longer being viewed as something of the future but part of our present, it's important to explore the various services AI tools offer that can help take our productivity to the next level. While ChatGPT has made quite the splash, it's important to note that there are many other tools available that offer their own unique and exciting features, including automating data analysis and creating stunning visuals.

If you believe in the multibillion-dollar valuations, the prognostications from some of tech's most notable figures, and the simple magic of getting a computer to do your job for you, then you might say we're at the start of the chatbot era. Last November, OpenAI released ChatGPT into the unsuspecting world: It became the fastest-growing consumer app in history and immediately seemed to reconfigure how people think of conversational programs. Chatbots have existed for decades, but they haven't seemed especially intelligent--nothing like the poetry-writing, email-summarizing machines that have sprouted up recently. OpenAI has defined the moment, but there are plenty of competitors, including major players such as Google and Meta and lesser-known start-ups such as Anthropic. This cheat sheet tracks some of the most notable chatbot contenders through a few metrics: Can you actually use them? Do they contain glaring flaws?

OpenAI just announced pricing for businesses seeking to integrate its ChatGPT service into their own products, and it looks an awful lot like a 90 percent off sale. It all starts with OpenAI, a former nonprofit that's now gunning for riches as lustily as any Silicon Valley unicorn. The company has built a dazzling array of products, including the DALL-E image generator and the renowned ChatGPT service. ChatGPT is powered by a system known as a large language model (or LLM), and it's one of several LLM lines that OpenAI sells commercially. Buyers of LLM output are mostly companies that integrate language-related services like chat, composition, summarization, software generation, online search, sentiment analysis, and much more into their websites, services, and products.

As the search AI chatbot shindigs -- like Microsoft's Bing bot debut and Google's Bard launch -- wind down for now, who knew the hottest, trendiest party in generative AI would be … business productivity apps? After years of being relegated to nerdy, wallflower AI status while self-driving cars, robot dogs and the future of the AI-powered metaverse got the spotlight, generative AI's email-writing, blog-producing, copy-powering abilities are suddenly popular. And top companies from startups to Big Tech are developing tools to gain admittance to the generative AI bash. Follow VentureBeat's ongoing generative AI coverage Arriving fashionably late to this generative AI soiree is San Francisco-based Grammarly. The digital writing assistant with a browser extension is far from a newbie to the AI space, but today the company announced its GPT-powered, chatbot-style GrammarlyGo. The new offering will start rolling out to its 30 million daily customers in beta in early April, as well as 50,000 teams in Grammarly Business.

Dave Rogenmoser, the chief executive of Jasper, said he didn't think many people would show up to his generative AI conference. It was all planned sort of last-minute, and the event was somehow scheduled for Valentine's Day. Surely people would rather be with their loved ones than in a conference hall along San Francisco's Embarcadero, even if the views of the bay just out the windows were jaw-slackening. But Jasper's "GenAI" event sold out. More than 1,200 people registered for the event, and by the time the lanyard crowd moseyed over from the coffee bar to the stage this past Tuesday, it was standing room only.

Andrew is co-founder and CEO of Cerebras Systems. He is an entrepreneur dedicated to pushing boundaries in the compute space. Prior to Cerebras, he co-founded and was CEO of SeaMicro, a pioneer of energy-efficient, high-bandwidth microservers. SeaMicro was acquired by AMD in 2012 for $357M. Before SeaMicro, Andrew was the Vice President of Product Management, Marketing and BD at Force10 Networks which was later sold to Dell Computing for $800M.

It has been becoming increasingly clear – anecdotally at least – just how expensive it is to train large language models and recommender systems, which are arguably the two most important workloads driving AI into the enterprise. But thanks to a new system rental service to train GPT models available from machine learning system maker Cerebras Systems and cloud computing partner Cirrascale, we now have some actual pricing that shows what it costs to run what GPT model at what scale. This is the first such public data we have seen out of the remaining AI training upstarts, which includes Cerebras, SambaNova Systems, Graphcore, and Intel's Habana Labs at this point – and perhaps we are being generous with the latter one with Intel looking to pare product lines and personnel as it seeks to remove $8 billion to $10 billion in costs from its books between now and 2025. The pricing information that Cerebras and Cirrascale divulged for doing specific GPT AI training runs on a quad of the CS-2 supercomputers was announced in conjunction with a partnership with Jasper, one of a number of AI application providers who are helping enterprises of all industries and sizes figure out how to deploy large language models to drive their applications. Like just about everyone else on Earth, Jasper has been training its AI models on Nvidia GPUs and it is looking for an easier and faster way to train models, which is how it makes a living.

The landscape of many businesses is altering due to artificial intelligence, and picture creation is one area where this is happening significantly. Numerous AI picture generators use artificial intelligence algorithms to turn text into graphics. These AI tools may be a terrific method to visualize your thoughts or notions swiftly in a couple of seconds. So, Which AI image generator is worth trying? The FotorAI Image Generator is a tool that the company offers that creates fresh photographs using Artificial Intelligence (AI) technology. Users can enter a sample image, and it will use that sample to create a brand-new, original image.