CybAI news - - Page 3195

24 May

How Real-World Enterprises are Leveraging Generative AI

stp2y0 CommentsViral News

Generative AI (GenAI) is moving incredibly fast. So much so, that in less than two years, GenAI has emerged as one of the most exciting and transformative technologies, empowering enterprises across diverse industries to drive innovation, enhance productivity, and deliver exceptional customer experiences. At Databricks, we've seen exponential growth in the demand and development of GenAI applications across our platform from every sector of industry, be that communications, energy, financial services, healthcare and life sciences, manufacturing, public sector, media and entertainment, or retail and consumer goods.As we approach Data + AI Summit, we'll be bringing together a global community to…

24 May

How to Generate and Use Synthetic Data for Finetuning

stp2y0 CommentsNews

It is increasingly viable to use synthetic data for pretraining, instruction-tuning, and preference-tuning. Synthetic data refers to data generated via a model or simulated environment, instead of naturally occurring on the internet or annotated by humans. Relative to human annotation, it’s faster and cheaper to generate task-specific synthetic data. Furthermore, the quality and diversity of synthetic data often exceeds that of human annotators, leading to improved performance and generalization when models are finetuned on synthetic data. Finally, synthetic data sidesteps privacy and copyright concerns by avoiding reliance on user data or possibly copyrighted content. There are two main approaches to…

24 May

Understanding and Coding Self-Attention, Multi-Head Attention, Cross-Attention, and Causal-Attention in LLMs

stp2y0 CommentsAI

This article will teach you about self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama. Self-attention and related mechanisms are core components of LLMs, making them a useful topic to understand when working with these models.However, rather than just discussing the self-attention mechanism, we will code it in Python and PyTorch from the ground up. In my opinion, coding algorithms, models, and techniques from scratch is an excellent way to learn!As a side note, this article is a modernized and extended version of "Understanding and Coding the Self-Attention Mechanism of Large Language Models…

24 May

McKesson, Merck back Atropos Health’s $33M round to accelerate drug development with AI

stp2y0 CommentsChat-GPT

Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. Atropos Health, a healthcare technology company focused on generating personalized real-world evidence, announced today that it has raised $33 million in a Series B funding round. The round included strategic investments from healthcare giants McKesson, Merck, and Cencora Ventures, signaling strong industry interest in Atropos’ mission to bring automated, high-quality evidence to patient care decisions. The Silicon Valley-based startup plans to use…

24 May

Animal brain inspired AI game changer for autonomous robots

stp2y0 CommentsGenAIVehicles; Engineering; Telecommunications; Aviation; Artificial Intelligence; Computers and Internet; Neural Interfaces; Robotics

A team of researchers at Delft University of Technology has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. Animal brains use less data and energy compared to current deep neural networks running on GPUs (graphic chips). Neuromorphic processors are therefore very suitable for small drones because they don't need heavy and large hardware and batteries. The results are extraordinary: during flight the drone's deep neural network processes data up to 64 times faster and consumes three times less energy than when running on a GPU. Further developments of this…

24 May

Meta and Google want to make AI deals with Hollywood studios

stp2y0 CommentsNewsgear, google, meta, news, openai

Meta and Google are offering Hollywood studios millions of dollars with the hope of striking licensing deals that could improve their models for AI-generated video, according to a in Bloomberg. The companies have reportedly offered “tens of millions of dollars,” though it’s unclear what will come from the talks.According to the report, Netflix and Disney “aren’t willing to license their content” but have “expressed interest in other types of collaborations.” Warner Brothers Discovery has reportedly indicated “a willingness to license some of its programs.”A spokesperson for Meta declined to comment. Google didn’t immediately respond to a request for comment. The…

24 May

The rise of intelligent automation as a strategic differentiator – AI News

stp2y0 CommentsChat-GPT

Intelligent automation (IA) technologies are graduating from being operational to highly strategic. In terms of the bottom line, it’s even more impressive. A study from SS&C Blue Prism, conducted by Forrester Consulting and published in April, put together a composite organisation representative of five customers interviewed. The conclusion was that, over three years, there were key gains in IA from greater productivity to compliance cost avoidance, to improved employee experience and retention. This represented an overall net present value of $53.4 million (£42.5m) per customer. Yet this may just be the tip of the iceberg. Dan Segura, enterprise sales manager…

24 May

Introducing Deephaven’s new calendar API | Deephaven

stp2y0 CommentsNews

Deephaven 0.32.0 introduced a number of new features, as well as improvements to old ones. Key features of the overhauled calendar API include:An updated Java calendar API that boosts performance in table operations.A streamlined Python API designed to minimize the chances of calling Python from query strings.Simple and intuitive naming conventions for ease of use.Support for user-defined calendars.Conversion between Deephaven and NumPy calendar formats.The new Python API is designed to be minimal, and facilitate the use of the Java API in query strings. The new calendar class provides the following methods:MethodDescriptionadd_calendarAdds a new business calendar to the set of available…

24 May

Goal Representations for Instruction Following

stp2y0 CommentsAIinstruction following, manipulation, representation learning

Goal Representations for Instruction Following A longstanding goal of the field of robot learning has been to create generalist agents that can perform tasks for humans. Natural language has the potential to be an easy-to-use interface for humans to specify arbitrary tasks, but it is difficult to train robots to follow language instructions. Approaches like language-conditioned behavioral cloning (LCBC) train policies to directly imitate expert actions conditioned on language, but require humans to annotate all training trajectories and generalize poorly across scenes and behaviors. Meanwhile, recent goal-conditioned approaches perform much better at general manipulation tasks, but do not enable easy…

24 May

Leaked OpenAI Documents Show Sam Altman Was Clearly Aware of Silencing Former Employees

stp2y0 CommentsChat-GPT

OpenAI's credibility — and the credibility of its CEO, Sam Altman — is crumbling.Last week, amid a surprise string of high-profile executive and safety team departures, Vox revealed that the ChatGPT creator had pressured employees into signing draconian non-disclosure and non-disparagement agreements by threatening to claw back exiting OpenAI employees' vested equity in the multibillion-dollar AI company.Clawing back vested equity — in short, the amount of company ownership that an employee has gained through their months or years of working there — is a highly unusual practice to begin with. This is especially true in the startup-powered Silicon Valley, where…