Large Language Models (LLMs) have demonstrated impressive text generation capabilities, prompting us to reconsider the future of human-AI co-creation and how humans interact with LLMs. In this paper, we present a spectrum of content generation tasks and their corresponding human-AI interaction patterns. These tasks include: 1) fixed-scope content curation tasks with minimal human-AI interactions, 2) independent creative tasks with precise human-AI interactions, and 3) complex and interdependent creative tasks with iterative human-AI interactions. We encourage the generative AI and HCI research communities to focus on the more complex and interdependent tasks, which require greater levels of human involvement.

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.

Automation relies on human dependence on machine intelligence, which is deeply affected by the universal values of accuracy and trust. Automation and efficiency initiatives will be hampered by a lack of adherence to these principles. An entirely novel wave of automation entered the world in November 2022 with the launch of ChatGPT and its potent computational capacity and ability to generate content on its own. Some incorrect content produced by ChatGPT and its rival Bard, however, has damaged public belief in these artificially intelligent machines. While many were enthralled by how quickly these tools could produce content, many were worried about the accuracy and trustworthiness of this machine-generated material.

OpenAI is an artificial intelligence research organization that develops advanced AI models and systems. OpenAI was founded by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and Wojciech Zaremba. The organization is dedicated to advancing artificial intelligence responsibly and beneficially, and its research has produced a wide range of groundbreaking AI technologies, including NLP, computer vision, and reinforcement learning. ChatGPT is one of the language models developed by OpenAI. It is a large-scale neural network that has been trained on vast amounts of text data using a technique called unsupervised learning.

The 14th annual Nvidia GTC online event will have more than 650 sessions, including 70 alone on generative AI. The online event will take place on March 20 to March 23, and my own session on the industrial metaverse will air on the morning of March 22. Greg Estes, vice president of marketing at Nvidia, said in an interview that much of the content for the event about Nvidia's technology ecosystem will center on talks about generative AI, the metaverse, large language models, robotics, cloud computing and more. Leaders from hundreds of organizations will present including AWS, Dell Technologies, Deloitte, Epic Games, Ford, GM, Google, HPE, Jaguar Land Rover, Lenovo, Lockheed Martin, Microsoft, Oracle Cloud, Pixar, Samsung, Shell, Target, TSMC, U.S. Space Force and VMware. You'll hear from the brightest minds within the gaming industry to share their updates on the latest developments.

As the world of generative AI continues to evolve and expand, the need for diversification in the tools and platforms developers use has become more pressing than ever. The recent bankruptcy of Silicon Valley Bank, caused partly by the founders' bank run, is a stark reminder of the importance of diversifying one's options and being prepared for the unexpected. Thankfully, there are several free alternatives to mainstream generative AI tools that can help safeguard against potential disasters. DALL·E 3, or diffusion models, there are options available that can help protect your projects from trouble. One of the critical benefits of diversifying your generative AI tools is the ability to tap into a broader range of capabilities and features.

If you thought you heard all you could about ChatGPT, well you're wrong. OpenAI has made its ChatGPT and Whisper models available on its API, allowing developers to have access to AI-powered language and speech-to-text capabilities. Let's take a step back first. Some of you may not know what ChatGPT or Whisper is. So let me give you a simple breakdown. ChatGPT is an AI-based chatbot system launched by OpenAI in November 2022.

Artificial Intelligence (AI) is going through something of a "hot topic" moment, as applications such as ChatGPT show the world just how powerful and capable it is becoming. The emergence of this new breed of "generative" AI tools has made it clear in recent months that it is no longer something that is only important in the realm of academic research or Silicon Valley tech giants. And far from simply being the latest "viral sensation," AI has truly become a technology that any business or individual can leverage to revolutionize the way they work or go about any number of day-to-day activities. So, what are the tools that everyone should be getting to grips with to ensure they understand exactly what AI is capable of today? I've picked out some of the most important ones to highlight how you can start using them today.

The emergence of this new breed of "generative" AI tools has made it clear in recent months that it is no longer something that is only important in the realm of academic research or Silicon Valley tech giants. And far from simply being the latest "viral sensation," AI has truly become a technology that any business or individual can leverage to revolutionize the way they work or go about any number of day-to-day activities. So, what are the tools that everyone should be getting to grips with to ensure they understand exactly what AI is capable of today? I've picked out some of the most important ones to highlight how you can start using them today. If, like many people, you've only just started taking notice of AI after coming across one of the most recent viral applications, you might be wondering how they relate to what we've traditionally referred to as "artificial intelligence."

OpenAI released ChatGPT just a few short months ago, and it's fair to say that it took the world by storm: It has over 100 million active users already. No wonder, when it can generate human-like, grammatically correct responses. Related technologies can also produce artwork and code by entering a description of what you want, and the tech produces it. You can even interact with the AI after your initial question, so if you don't like the output you got or need clarification, you can ask additional questions or make adjustments to your picture or code, so it more closely matches your vision. All of this happens instantly without the help of a subject expert, an artist or a coder.