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Since I’ve been working with Azure OpenAI Service from a developer perspective as well, I’ve decided to build a sample application to help demonstrate not just the IaC deployment of Azure OpenAI Service and GPT models, but also to demonstrate some basic use cases of integrating AI into your own enterprise applications. Here’s a screenshot […] The article Introducing AIChatUI: Open Source AI Chat Sample with Azure OpenAI Service & GPT-3 / GPT-4 appeared first on Build5Nines. View the full article

Researchers from the University of Illinois Urbana-Champaign found that OpenAI’s GPT-4 is able to exploit 87% of a list of vulnerabilities when provided with their NIST descriptions.View the full article

UIUC researchers gave GPT-4 the CVE advisories of critical cybersecurity vulnerabilities. The model successfully knew how to exploit 87% of them. View the full article

Apple researchers have developed an artificial intelligence system named ReALM (Reference Resolution as Language Modeling) that aims to radically enhance how voice assistants understand and respond to commands. In a research paper (via VentureBeat), Apple outlines a new system for how large language models tackle reference resolution, which involves deciphering ambiguous references to on-screen entities, as well as understanding conversational and background context. As a result, ReALM could lead to more intuitive and natural interactions with devices. Reference resolution is an important part of natural language understanding, enabling users to use pronouns and other indirect references in conversation without confusion. For digital assistants, this capability has historically been a significant challenge, limited by the need to interpret a wide range of verbal cues and visual information. Apple's ReALM system seeks to address this by converting the complex process of reference resolution into a pure language modeling problem. In doing so, it can comprehend references to visual elements displayed on a screen and integrate this understanding into the conversational flow. ReALM reconstructs the visual layout of a screen using textual representations. This involves parsing on-screen entities and their locations to generate a textual format that captures the screen's content and structure. Apple researchers found that this strategy, combined with specific fine-tuning of language models for reference resolution tasks, significantly outperforms traditional methods, including the capabilities of OpenAI's GPT-4. ReALM could enable users to interact with digital assistants much more efficiently with reference to what is currently displayed on their screen without the need for precise, detailed instructions. This has the potential to make voice assistants much more useful in a variety of settings, such as helping drivers navigate infotainment systems while driving or assisting users with disabilities by providing an easier and more accurate means of indirect interaction. Apple has now published several AI research papers. Last month, the company revealed a new method for training large language models that seamlessly integrates both text and visual information. Apple is widely expected to unveil an array of AI features at WWDC in June.Tag: Artificial Intelligence This article, "Apple Researchers Reveal New AI System That Can Beat GPT-4" first appeared on MacRumors.com Discuss this article in our forums View the full article

GPT-4 is put to the ultimate test by a researcher: Playing Doom without any prior training, only its own ability to reason and make decisions. The results are simultaneously amusing and ominous. View the full article

Anthropic has released a new series of large language models and an updated Python API to access them.View the full article

A recent study has revealed that AI language models, specifically OpenAI's GPT-4, are outperforming humans in tasks that require divergent thinking - which involves the generation of unique solutions to open-ended questions, a key facet of creativity. The study, conducted by Kent F. Hubert and Kim N. Awa, Ph.D. students at the University of Arkansas, and Darya L. Zabelina, an assistant professor at the same institution, involved 151 human participants. They were tested against the AI model on the Alternative Uses Task, Consequences Task, and Divergent Associations Task. And in bad news for the humans, the AI model demonstrated greater originality and detail in its responses, thus indicating higher creative potential. Of course, these findings are not definitive proof of AI's superior creativity. The study's authors caution that while the AI models were more original, they were not necessarily more appropriate or practical in their ideas. The AI’s creative potential is also dependent on human input, which limits its autonomy. More research needed The study additionally found that AI used a higher frequency of repeated words compared to human respondents. While humans generated a wider range of responses, this did not necessarily result in increased originality. The findings challenge the assumption that creativity is a uniquely human trait. However, the question remains whether AI's superior performance in creative tasks poses a threat to humans, now or in the future. While the results were undoubtedly impressive, the authors stress that the study only assesses one aspect of divergent thinking. It does not necessarily indicate that AI is more creative across the board. The authors conclude that future research will need to consider the usefulness and appropriateness of the ideas, as well as the real-world applications of AI creativity. The study, titled "The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks," was published in Scientific Reports. More from TechRadar Pro These are the best AI tools around todayLearn from shadow IT's mistakes: don’t let Generative AI go undergroundMany companies still aren't offering proper AI guidance View the full article

How much better is GPT-4 compared to previous models? Learn about cost and capabilities.View the full article

GPT-4 Turbo, which is in preview for developers, can call on information as recent as April 2023. And, OpenAI revealed a new way for developers to build AI tools.View the full article