Articles about OpenAI

In-depth discussions with financial crime compliance decision makers from 10 leading U.S. financial institutions reveal that real-time digital payments, digital fraud, and cybercrime are the primary concerns for compliance teams in 2023.That said, there is a new player that has entered the scene and demands our attention: ChatGPT. It has the dual ability to help or hurt compliance and security teams.

Because while this cutting-edge technology presents an opportunity for financial institutions to detect and mitigate fraud and financial crime, it also provides criminals with an avenue to commit these acts more easily.

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Over the past few years, the adoption of artificial intelligence (AI) has rapidly grown, impacting virtually every industry. In fact, 91 percent of leading businesses are now investing in AI tools regularly. With the mainstream success of second-generation AI platforms like ChatGPT, AI is available at your fingertips, offering numerous benefits that can help streamline daily tasks.

For managed services providers (MSPs), these tools provide an opportunity to enhance workplace efficiency, reduce operational costs and increase business opportunities. However, with every perk comes a responsibility that must be taken into consideration.

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Over recent years, various emerging technologies have presented complex issues for intellectual property (IP) laws. The pace at which these technologies are advancing is only accelerating, and it seems fated that many recent innovations are on the verge of significantly impacting our lives.

The ramifications for IP could be substantial, and already, discussions are taking place regarding how novel technologies will influence the IP landscape. In some instances, the emergence of new media necessitates a response from IP laws to ascertain which existing rules remain relevant and ensure that current assets continue to receive effective protection. In other cases, the evolving ways assets are utilized demonstrate that some IP regulations are no longer appropriate, indicating a need for reform.

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At its Build developer conference today, Microsoft's main focus was -- unsurprisingly -- on AI, with the introduction of Windows Copilot for Windows 11, and a new and improved Microsoft Store.

For many people, however, one of the more exciting announcements was the news that as a result of the company's partnership with OpenAI, Bing is being added to ChatGPT as the default search experience.

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There are a huge number of fake ChatGPT apps out there -- particularly for Android handsets -- but now the company behind the artificial intelligence has released an official iOS app.

The app is not only free, it is also devoid of advertising. For most people, the app provides access to the GTP-3 powered AI, but anyone who subscribes to ChatGPT Plus gains access to the power of GPT-4.

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IT operations (ITOps) teams are finding it increasingly difficult to keep up with the complexity of their technology environments as they continue to grow. Today, the average large enterprise’s tech stack comprises of no less than 187 different applications. As organizations have become more reliant on these applications to support customer experiences and keep revenue flowing, ITOps teams face growing pressure to keep them running smoothly. They need to respond instantly to possible security incidents or service outages before they impact the business, support internal users effectively, and -- where time permits -- support development teams in their efforts to deliver innovation projects. Given the sheer breadth of responsibilities ITOps teams face, it’s no surprise that burnout has become commonplace.

To overcome these challenges and alleviate some of the pressure on ITOps teams, organizations are turning to artificial intelligence (AI) and automation. These capabilities can help by reducing manual workloads and increasing operational efficiency, which in turn boost job satisfaction and often leads to better customer experiences. Organizations have turned to many approaches and tools to drive this automation over the years, but in recent weeks it is ChatGPT, a sophisticated large language model, which has been capturing their attention. Cutting through all the hype, it’s possible to identify clear, practical upsides for businesses that implement ChatGPT in their IT operations.

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GPT-3, by Sandra Kublik and Shubham Saboo, provides a comprehensive guide on how to utilize the OpenAI API with ease. It explores imaginative methods of utilizing this tool for your specific needs and showcases successful businesses that have been established through its use.

The book is divided into two sections, with the first focusing on the fundamentals of the OpenAI API. The second part examines the dynamic and thriving environment that has arisen around GPT-3.

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When constructing large language models (LLMs), developers require immense amounts of training data, often measured in hundreds of terabytes or even petabytes. The challenge lies in obtaining this data without violating copyright laws or using inaccurate information and avoiding potential lawsuits.

Some AI developers have been discovered collecting pirated ebooks, proprietary code, or personal data from online sources without consent. This stems from a competitive push to develop the largest possible models, increasing the likelihood of using copyrighted training data, causing environmental damage, and producing inaccurate results. A more effective approach would be to develop smart language models (SLMs) with a horizontal knowledge base, using ethically-sourced training data and fine-tuning to address specific business challenges.

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There's probably no one who hasn't heard of ChatGPT, an AI-powered chatbot that can generate human-like responses to text prompts. While it's not without its flaws, ChatGPT is scarily good at being a jack-of-all-trades: it can write software, a film script and everything in between. ChatGPT was built on top of GPT-3.5, OpenAI’s large language model, which was the most advanced at the time of the chatbot's release last November.

Fast forward to March, and OpenAI unveiled GPT-4, an upgrade to GPT-3.5. The new language model is larger and more versatile than its predecessor. Although its capabilities have yet to be fully explored, it is already showing great promise. For example, GPT-4 can suggest new compounds, potentially aiding drug discovery, and create a working website from just a notebook sketch.

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As the world goes crazy for AI, many are voicing concerns about the numerous artificial intelligence systems that are rapidly gathering fans. ChatGPT is one of the tools that has exploded in popularity, and now OpenAI, the company behind the system, has launched a bug bounty program to help track down flaws and problems.

The company is calling on "the global community of security researchers, ethical hackers, and technology enthusiasts" to unearth vulnerabilities, bugs and security flaws. With the OpenAI Bug Bounty Program, it is possible to earn anything from $200 to $20,000 for sharing discoveries, with the size of the payment being dependent on the severity of the problem found.

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Microsoft has started the rollout of Edge Image Creator to all users. Continuing its love affair with all things related to artificial intelligence, the company's in-browser AI image generator is powered by OpenAI's DALL-E.

Rolling out the tool to Edge comes just a few weeks after Microsoft announced the launch of Bing Image Creator in the preview version of the browser and the new Bing. It means that everyone running the desktop version of Edge will have access to Image Creator.

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ChatGPT, OpenAI's flagship product, is a generative language model that is capable of generating natural language responses to a wide variety of prompts. Microsoft is bringing this AI functionality to many of its products, including Microsoft 365, but another company is already offering a powerful ChatGPT add-in for Microsoft Office.

We spoke to Ghostwriter's creator Patrick Husting about his product and plans for the future.

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While many were marveling at the release of OpenAI’s GPT-4, Monitaur was busy analyzing the accompanying papers that examined the risks and technical design of its latest engine. In this commentary, I examine this through the lens of proper governance, responsible use, and ethical AI, while also considering the larger landscape of language models within which OpenAI sits.

The analysis results were not what were hoped for.

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For the past few months, the tech -- and tech-adjacent -- world has been fascinated by ChatGPT. A generative artificial intelligence (AI) tool that has been open for public use since late 2022, it’s designed to interact with humans to answer questions or develop content based on a prompt written in simple, conversational English rather than a complex data query.

ChatGPT has been used to write Valentine’s Day poems, plan a Thanksgiving menu and write other humorous outputs. It also has quickly become a research hub, programming tutor and source for writing inspiration. Famously, a leading tech news site used ChatGPT to write some of its articles, to varying degrees of success.

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OpenAI's ChatGPT can be used for all sorts of things, from answering questions and translating text, to generating original content like stories, poetry and code.

Given the right prompts, it can even be tricked into producing valid license keys for software. YouTuber Enderman managed to overcome ChatGPT’s initial reluctance to do this and got it to provide him with a selection of working keys for Windows 95.

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