stp2y - CybAI news

26 May

Unveiling MongoDB.Local: Setting the stage for next-gen AI applications – SiliconANGLE

stp2y0 CommentsChat-GPTJohn Furrier, SiliconANGLE, Unveiling MongoDB.Local: Setting the stage for next-gen AI applications

At MongoDB Inc.’s flagship developer conference in New York City last year, I spoke with Chief Executive Dev Ittycheria, who offered his take on the burgeoning generative artificial intelligence wave. Ittycheria predicted that as developers began to experiment with new AI tools, including those within MongoDB’s developer data platform, they’d see productivity gains and would be able to build revolutionary new kinds of applications. This week, MongoDB returns with its annual New York City developer conference, MongoDB.local NYC 2024, which kicks off its world tour of events across 23 cities. I sat down with Ittycheria again recently to hear his…

26 May

NTT expands use of racing data to improve fan experiences

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. NTT said its is expanding its innovative use of racing data to improve fan experiences across the NTT Indy Car Series, including this year’s Indianapolis 500. NTT is the parent company of NTT Data, and they serve together as official technology partner ofIndyCar, Indianapolis Motor Speedway (IMS), the Indianapolis 500, and NASCAR Brickyard weekend. Through 140-plus sensors on each racecar, NTT Data captures and…

26 May

Robotic system feeds people with severe mobility limitations

stp2y0 CommentsGenAIDiseases and Conditions; Medical Topics; Disability; Robotics Research; Engineering; Physics; Robotics; Artificial Intelligence; Computer Science

Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis. "Feeding individuals with severe mobility limitations with a robot is difficult, as many cannot lean forward and require food to be placed directly inside their mouths," said Tapomayukh "Tapo" Bhattacharjee, assistant professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science and senior developer behind the system. "The challenge intensifies when feeding individuals with additional complex medical conditions."…

26 May

Data Machina #242

stp2y0 CommentsViral News

AI and Causality. The introduction of OpenAI Sora (simulate real worlds from video understanding) has sparked a bit of a debate among some prominent AI researchers. First, What do AI researchers mean by “causal”?Secondly: Do LLMs have causal reasoning capabilities? Can LLMs learn causality from just real world training data? Can LLMs learn, represent, and understand world models and physics? Judea Pearl - a world’s top researchers in Probabilistic AI, Bayesian Networks, and Causal Inference- once famously said in an interview:Deep Learning -albeit complex and non-trivial- it’s a curve fitting exercise. To build truly Intelligent Machines, teach them cause and…

26 May

Prompting Fundamentals and How to Wield them Effectively

stp2y0 CommentsNews

Writing good prompts is the most straightforward way to get value out of large language models (LLMs). However, it’s important to understand the fundamentals even as we apply advanced techniques and prompt optimization tools. For example, there’s more to Chain-of-Thought (CoT) beyond simply adding “think step by step”. Here, I’d like to share some prompting fundamentals to help you get the most out of LLMs. Aside: By know we should know that we need reliable evals before doing any major prompt engineering. Without evals, how would we measure improvements and regressions? Here’s my usual workflow: (i) manually label ~100 eval…

26 May

LLM Training: RLHF and Its Alternatives

stp2y0 CommentsAI

I frequently reference a process called Reinforcement Learning with Human Feedback (RLHF) when discussing LLMs, whether in the research news or tutorials. RLHF is an integral part of the modern LLM training pipeline due to its ability to incorporate human preferences into the optimization landscape, which can improve the model's helpfulness and safety.In this article, I will break down RLHF in a step-by-step manner to provide a reference for understanding its central idea and importance. Following up on the previous Ahead of AI article that featured Llama 2, this article will also include a comparison between ChatGPT's and Llama 2's…

26 May

African Workers Doing OpenAI’s Training Say They’re Being Subjected to “Modern Day Slavery”

stp2y0 CommentsChat-GPT

"US Big Tech companies are systemically abusing and exploiting African workers."Asking For HelpLow-paid AI workers in Africa who perform AI and social media content moderation work for major Silicon Valley companies like Meta and OpenAI have published an open letter imploring US President Joe Biden to help ensure fair working conditions in a system that the letter's 97 signees say amounts to "modern day slavery," Wired reports.To build AI models, like OpenAI's DALL-E image creator or Meta's "Llama" language model, those companies require a massive — and endless — amount of data, which has generally been acquired by a process…

26 May

Databricks Is a Glassdoor Best-Led Company in 2024

stp2y0 CommentsViral News

Databricks is pleased to announce we are ranked #2 in the inaugural annual Glassdoor Award List of Best-Led Companies in 2024! At Databricks, we're not just building cutting-edge technology; we're cultivating a culture of transparency. Our leadership mirrors our internal commitment to collaborative and transparent work practices. Databricks, a Glassdoor Best-Led CompanyOur CEO and Co-founder Ali Ghodsi’s leadership is rooted in truth-seeking and first principles thinking, two of Databricks’ core values that stay true to our origins in academia. As Databricks has grown, we’ve strived to maintain the open and transparent culture we had in our early days at the AMP research lab in UC Berkeley.…

26 May

Someone made a Flappy Bird tribute for the Playdate that lets you use the crank to fly

stp2y0 CommentsNewsgaming, news, playdate

Ah, Flappy Bird. It’s been a long time since I last gave any thought to the game-turned-cultural-phenomenon that briefly had us all in a chokehold a decade ago. At least, that was the case until this morning, when I stumbled upon a Reddit post announcing a Flappy Bird tribute for the Playdate and, without a moment’s hesitation, sideloaded it onto my device. Now here I am, absolutely hooked on this maddening little game once again. And, using the crank to control that silly looking bird, it's even harder this time around. FlappyBird by Chibisuke is free and available to download…

26 May

Does String Theory Actually Describe the World? AI May Be Able to Tell

stp2y0 CommentsAIartificial intelligence, physics, quanta magazine, science, string theory

A group led by string theory veterans Burt Ovrut of the University of Pennsylvania and Andre Lukas of Oxford went further. They too started with Ruehle’s metric-calculating software, which Lukas had helped develop. Building on that foundation, they added an array of 11 neural networks to handle the different types of sprinkles. These networks allowed them to calculate an assortment of fields that could take on a richer variety of shapes, creating a more realistic setting that can’t be studied with any other techniques. This army of machines learned the metric and the arrangement of the fields, calculated the Yukawa…