CybAI news - - Page 3095

23 May

Sampling for Text Generation

stp2y0 CommentsRAG models

ML models are probabilistic. Imagine that you want to know what’s the best cuisine in the world. If you ask someone this question twice, a minute apart, their answers both times should be the same. If you ask a model the same question twice, its answer can change. If the model thinks that Vietnamese cuisine has a 70% chance of being the best cuisine and Italian cuisine has a 30% chance, it’ll answer “Vietnamese” 70% of the time, and “Italian” 30%. This probabilistic nature makes AI great for creative tasks. What is creativity but the ability to explore beyond the…

23 May

Release notes for Deephaven version 0.34 | Deephaven

stp2y0 CommentsNews

The wait is over, and Deephaven Community Core version 0.34.0 is out. This is a big release with significant enhancements and new features. Are you ready to explore the latest updates? Let's dive in and discover what's new!Command line interface for pip-installed DeephavenDo you run Deephaven from Python without Docker? If so, chances are it's because:You don't like Docker.You want to keep everything in Python.You like the Jupyter experience.Well, we have good news. It just got even easier to start Deephaven from Python with the introduction of a new command line interface.If you pip install Deephaven 0.34.0 or later via…

23 May

Forward-looking assessment of AI integration at MongoDB.local NYC – SiliconANGLE

stp2y0 CommentsChat-GPTAnalyst insights: The 'crucible moment' of AI integration in database evolution, Chad Wilson, SiliconANGLE

As artificial intelligence continues its ascent within enterprises, a deep dive into AI integration and database technology reveals groundbreaking developments. Innovative strategies are reshaping data management and setting the course for future business transformation. At today’s MongoDB.local NYC event, industry analysts offered an analysis of AI, highlighting the rapid evolution of AI integration and database technology. In dissecting the keynote by MongoDB Inc.’s Chief Executive Officer Dev Ittycheria, they emphasized the importance of forward-looking decision-making and strategies that adapt to the dynamic tech landscape. Ittycheria’s focus on broadening messaging beyond developers resonated with industry sentiments, echoing the importance of future-oriented…

23 May

Microsoft Copilot Cheat Sheet: Benefits, Price and Versions

stp2y0 CommentsGenAI

Microsoft Copilot, with its integration into Windows, Bing, 365, Azure, and Server, is purported to be the AI that unlocks the creative and productive potential of an organization’s people and data. What is Microsoft Copilot? Microsoft Copilot is an AI product that combines the power of large language models with in-house enterprise data generated by the Microsoft Graph and Microsoft 365 applications. Using the power of AI and natural language conversations, users can find better answers to their questions and potentially create content from those answers. Copilot was developed on the ChatGPT platform and announced as an in-development platform at…

23 May

Recap of Embedded World 2024: Edge AI, Hardware and More – EE Times

stp2y0 CommentsNews

//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> EE Times and AspenCore staff were on-site at embedded world 2024, in April, providing expert coverage on the latest and greatest developments at the annual trade fair for professionals in embedded-system technologies. Our editors covered a wide range of topics, including AI, tinyML, hardware, sustainability and more, as well as delivered in-depth video interviews during the duration of the conference. Here is a recap of our coverage across EE Times and our sister publications, in case you missed any of it: By MRPeasy 05.01.2024 By Global Unichip Corp. …

23 May

How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock | Amazon Web Services

stp2y0 CommentsAI

This post is co-written with Aurélien Capdecomme and Bertrand d’Aure from 20 Minutes. With 19 million monthly readers, 20 Minutes is a major player in the French media landscape. The media organization delivers useful, relevant, and accessible information to an audience that consists primarily of young and active urban readers. Every month, nearly 8.3 million 25–49-year-olds choose 20 Minutes to stay informed. Established in 2002, 20 Minutes consistently reaches more than a third (39 percent) of the French population each month through print, web, and mobile platforms. As 20 Minutes’s technology team, we’re responsible for developing and operating the organization’s web and mobile…

23 May

OpenAI partners with Wall Street Journal publisher News Corp.

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. In a significant move set to impact AI and mainstream media, OpenAI today announced its newest partnership with an outside media agency — News Corp., the famed company founded by billionaire media mogul Rupert Murdoch and which controls such outlets as The Wall Street Journal and major book publisher HarperCollins. Yet HarperCollins will not be included in this deal. OpenAI specifically states…

23 May

3D printing robot creates extreme shock-absorbing shape, with help of AI

stp2y0 CommentsGenAIRobotics Research; Engineering and Construction; Materials Science; Engineering; Robotics; Artificial Intelligence; Hacking; Computers and Internet

Inside a lab in Boston University's College of Engineering, a robot arm drops small, plastic objects into a box placed perfectly on the floor to catch them as they fall. One by one, these tiny structures -- feather-light, cylindrical pieces, no bigger than an inch tall -- fill the box. Some are red, others blue, purple, green, or black. Each object is the result of an experiment in robot autonomy. On its own, learning as it goes, the robot is searching for, and trying to make, an object with the most efficient energy-absorbing shape to ever exist. To do this,…

23 May

Drivers Are Rising Up Against Uber’s ‘Opaque’ Pay System

stp2y0 CommentsRAG modelscities, on-demand economy, uber

On Wednesday morning a small group of people huddled over their phones at the foot of the giant glass skyscraper that houses Uber’s London headquarters. They were running an experiment in an attempt to solve one of the greatest mysteries in the platform economy right now: How Uber’s algorithm calculates driver pay.Beneath flags and banners calling on Uber to “Stop Dynamic Pricing,” one driver ordered a ride, acting as a customer to Heathrow Airport, and received a quote for £46. Seconds later, the job pinged up on the phone of a fellow protester, who had told the app he was…

23 May

Instruction Tuning GPT2 on Alpaca Dataset

stp2y0 CommentsViral News

Fine-tuning language models to follow instructions is a major step in making them more useful. In this article, we will train the GPT2 model for following simple instructions. Instruction tuning GPT2 on the Alpaca dataset will reveal how well very small language models perform at following instructions. Figure 1. Instruction tuned GPT2 on Alpaca dataset inference result. In particular, we will train the GPT2 base model which contains just 124 million parameters. This is much smaller than what the industry considers as SLMs (Small Language Models), which us typically 7 bllion (7B) parameters. In fact, any language model below 3…