GenAI - CybAI news

23 May

On NeurIPS’ High School Paper Track • David Stutz

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The decision to have a separate High School Project Track at NeurIPS 2024 has sparked quite some controversy, with many prominent AI researchers debating pros and cons and personal opinions, primarily on X/Twitter. Initially, I ignored this discussion, but eventually started thinking about it myself. Here are some of my thoughts. A short disclaimer is necessary before diving in: the below is a rather personal opinion on the subject — driven by my personal experiences in AI research. As such, it is not meant to blame, contradict or discredit anyone or anything. Instead it is an attempt to add color.…

23 May

AI-powered metadata: Informatica’s role in the future of data management – SiliconANGLE

stp2y0 CommentsGenAIAI-powered metadata: Informatica’s role in the future of data management, Guest Author, SiliconANGLE

The journey to AI-integrated metadata systems As theCUBE Research has been tracking, the transformation of data management systems has been gradual yet profound. Over the past decade, organizations have increasingly recognized the value of separating computational power from data storage, leading to more centralized data consolidation and management. Informatica Inc., a data integration and management leader since the 1990s, has evolved into a comprehensive data management platform that integrates artificial intelligence and metadata to enhance data utilization across various industries. Challenges of using AI in metadata integration As we have discussed in past articles about the Sixth Data Platform and…

23 May

Microsoft Build 2024: Copilot AI Gains ‘Personal Assistant’ Capabilities

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Following the announcements of Copilot+ enabled AI PCs at the Microsoft Build developer event on May 20, Microsoft released new developer tools, enhancements to Microsoft Azure AI and new enterprise options for Copilot. GitHub Copilot received a lengthy list of new capabilities enabled by first- and third-party services. Meanwhile, reactions to the AI memory feature Recall include some backlash against its observation of all of the user’s activity. Recall, announced at Microsoft Build on May 20, makes any activity on a Microsoft AI PC searchable, allowing the user to ask natural language questions and receive answers from across all of…

23 May

Building a better sarcasm detector

stp2y0 CommentsGenAICommunications; Artificial Intelligence; Computational Biology; Information Technology; Computer Modeling; Statistics; Computer Programming; Mathematical Modeling

Oscar Wilde once said that sarcasm was the lowest form of wit, but the highest form of intelligence. Perhaps that is due to how difficult it is to use and understand. Sarcasm is notoriously tricky to convey through text -- even in person, it can be easily misinterpreted. The subtle changes in tone that convey sarcasm often confuse computer algorithms as well, limiting virtual assistants and content analysis tools. Xiyuan Gao, Shekhar Nayak, and Matt Coler of Speech Technology Lab at the University of Groningen, Campus Fryslân developed a multimodal algorithm for improved sarcasm detection that examines multiple aspects of…

23 May

What ScarJo v. ChatGPT Could Look Like in Court

stp2y0 CommentsGenAIartificial intelligence, chatgpt, hollywood, lawsuit, machine learning, movies, openai, sci-fi

It doesn’t matter whether a person’s actual voice is used in an imitation or not, Rothman says, only whether that audio confuses listeners. In the legal system, there is a big difference between imitation and simply recording something “in the style” of someone else. “No one owns a style,” she says.Other legal experts don’t see what OpenAI did as a clear-cut impersonation. “I think that any potential ‘right of publicity’ claim from Scarlett Johansson against OpenAI would be fairly weak given the only superficial similarity between the ‘Sky’ actress' voice and Johansson, under the relevant case law,” Colorado law professor…

23 May

Yi-34B, Llama 2, and common practices in LLM training: a fact check of the New York Times

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On February 21 2024, the New York Times published “China’s Rush to Dominate A.I. Comes With a Twist: It Depends on U.S. Technology.” The authors claim that Yi-34B, a recent large language model by the Chinese startup 01.AI, is fundamentally indebted to Meta’s Llama 2: There was just one twist: Some of the technology in 01.AI’s system came from Llama. Mr. Lee’s start-up then built on Meta’s technology, training its system with new data to make it more powerful. This assessment is based on a misreading of the cited Hugging Face issue. While we make no claims about the overall…

23 May

Building MLOps Capabilities at GitLab As a One-Person ML Platform Team

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Eduardo Bonet is an incubation engineer at GitLab, building out their MLOps capabilities. One of the first features Eduardo implemented in this role was a diff for Jupyter Notebooks, bringing code reviews into the data science process. Eduardo believes in an iterative, feedback-driven product development process, although he emphasizes that “minimum viable change” does not necessarily mean that there is an immediately visible value-add from the user’s point of view. While LLMs are quickly gaining traction, Eduardo thinks they’ll not replace ML or traditional software engineering but add to the capabilities. Thus, he believes that GitLab’s current focus on MLOps…

22 May

Documenting your PhD — Keeping Track of Meetings, Experiments and Decisions • David Stutz

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A PhD can be a difficult endeavour. While becoming an expert in tackling a specific problems, it is easy to lose track of things: Have I read this paper before? What was the paper saying? Why did we decide to change course? Why am I running these experiments? Who did I talk to at the last conference? Throughout my PhD, I learned that documenting these things made me significantly more effective with minimal overhead. In this article, I want to share some learnings around what and how to keep track of PhD work. Introduction In the beginning of my PhD,…

22 May

Confluent’s expands managed Apache Flink service to simplify data streaming for generative AI – SiliconANGLE

stp2y0 CommentsGenAIConfluent's expands managed Apache Flink service to simplify data streaming for generative AI, Mike Wheatley, SiliconANGLE

Confluent Inc. today announced expanded capabilities for its managed service for Apache Flink, the open-source big data processing framework. Unlike the regular open-source Flink, it comes with a novel AI Model Inference feature that organizations can use to clean and process real-time streaming data for artificial intelligence and machine learning applications. In addition, the company announced an auto-scaling cluster type for use cases such as logging and telemetry data without time requirements. Founded in 2014, Confluent is the company that leads the development of Apache Kafka, the popular open-source big data streaming platform that enables companies to move information quickly from…

22 May

Microsoft’s Copilot+ PCs, New Surface Laptops and More Pre-Build 2024 Announcements

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Before Microsoft’s Build 2024 developer conference kicked off today, the company made a number of initial announcements during a special hour-long keynote event on May 20th hosted at its Redmond campus in Washington. These announcements included: Copilot+ PCs. Copilot and GPT-4o. Recall. Surface Pro 11. Surface Laptop 7. AI-optimized creative apps. TechRepublic takes a closer look at all the major announcements made at the Surface and Copilot AI event on May 20, 2024. Copilot+ PCs The first major announcement to come from the keynote was the launch of Microsoft’s new category of personal computers: Copilot+ PCs. These PCs come with…