CybAI news - - Page 3389

23 May

Seoul summit showcases UK’s progress on trying to make advanced AI safe

stp2y0 CommentsChat-GPT

The UK is leading an international effort to test the most advanced AI models for safety risks before they hit the public, as regulators race to create a workable safety regime before the Paris summit in six months.Britain’s AI Safety Institute, the first of its kind, is now matched by counterparts from around the world, including South Korea, the US, Singapore, Japan and France.Regulators at the Seoul AI Summit hope the bodies can collaborate to create the 21st-century version of the Montreal Protocol, the groundbreaking agreement to control CFCs and close the hole in the ozone layer.But before they do,…

23 May

On NeurIPS’ High School Paper Track • David Stutz

stp2y0 CommentsGenAI

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

The Goldilocks Scenario Every VC Is Hoping For

stp2y0 CommentsRAG models

Over the past few years, we’ve witnessed the meteoric top of the venture and startup markets where valuations were through the roof, investors were competing with each other on speed (instead of due diligence), founders were exclusively focused on raising the next round, and startups had an almost unlimited source of capital to pursue growth at all costs. Those days ended with a series of significant blows to the ecosystem including the Silicon Valley Bank collapse, global wars and rising interest rates. Now the industry has settled into a new, healthy normal where valuations have returned to reasonable levels, only…

23 May

Optimizing Databricks LLM Pipelines with DSPy

stp2y0 CommentsViral Newsdspy, GenAI, generative ai, LLM

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools in production. Startups are building everything from Retrieval-Augmented Generation (RAG) automation to custom fine-tuning services. Langchain is perhaps the most famous of all these new frameworks, enabling easy prototypes for chained language model components since Spring 2023. However, a recent, significant development has come not from a startup, but from the world of academia. In October 2023, researchers working in Databricks co-founder Matei Zaharia’s Stanford research lab released DSPy, a library for compiling declarative language model calls into…

23 May

Mozilla says it will add Tab Groups, Vertical Tabs, Profile Management to Firefox – gHacks Tech News

stp2y0 CommentsNews

Mozilla has officially announced a roadmap that outlines some important features which will be added to Firefox. Notable additions will include support for Tab Groups, Vertical Tabs, and a better Profile Management system. Vertical Tabs are coming to Firefox Mozilla's Tweet poked fun at itself, saying that it heard users who had been asking for a vertical tab bar in the browser. The feature is already available in the Larch channel of Firefox, which Martin tested last month. Vertical tabs aren't new, Brave browser has the feature, as do Vivaldi, and Microsoft Edge. Firefox users have relied on extensions like…

23 May

AI Is a Black Box. Anthropic Figured Out a Way to Look Inside

stp2y0 CommentsAIalgorithms, artificial intelligence, deep learning, neural networks, research

Last year, the team began experimenting with a tiny model that uses only a single layer of neurons. (Sophisticated LLMs have dozens of layers.) The hope was that in the simplest possible setting they could discover patterns that designate features. They ran countless experiments with no success. “We tried a whole bunch of stuff, and nothing was working. It looked like a bunch of random garbage,” says Tom Henighan, a member of Anthropic’s technical staff. Then a run dubbed “Johnny”—each experiment was assigned a random name—began associating neural patterns with concepts that appeared in its outputs.“Chris looked at it, and…

23 May

ChatGPT is now better than ever at faking human emotion and behaviour

stp2y0 CommentsChat-GPT

Earlier this week OpenAI launched GPT-4o (“o” for “omni”), a new version of the artificial intelligence (AI) system powering the popular ChatGPT chatbot. GPT-4o is promoted as a step towards more natural engagement with AI. According to the demonstration video, it can have voice conversations with users in near real-time, exhibiting human-like personality and behaviour. This emphasis on personality is likely to be a point of contention. In OpenAI’s demos, GPT-4o sounds friendly, empathetic and engaging. It tells “spontaneous” jokes, giggles, flirts and even sings. The AI system also shows it can respond to users’ body language and emotional tone.…

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

Predictive Human Preference: From Model Ranking to Model Routing

stp2y0 CommentsRAG models

A challenge of building AI applications is choosing which model to use. What if we don’t have to? What if we can predict the best model for any prompt? Predictive human preference aims to predict which model users might prefer for a specific query. Table of contents Ranking Models Using Human Preference…. How Preferential Ranking Works…. Correctness of Chatbot Arena Ranking…….. Eval data…….. ResultsPredicting Human Preference For Each Prompt…. Experiment setup…. Experiment results…….. Domain-specific and query-specific leaderboardsConclusion Human preference has emerged to be both the Northstar and a powerful tool for AI model development. Human preference guides post-training techniques including…

23 May

GenAI Just Got A Little Less Opaque

stp2y0 CommentsNews

Yesterday, the AI startup Anthropic published a paper detailing the successful interpretation of the inner workings of a large language model (LLM). LLMs are notoriously opaque — their size, complexity, and numeric representation of human language have hitherto defied explanation — so it’s impossible to understand why inputs lead to outputs. Anthropic used a technique called dictionary learning, leveraging a sparse encoder to isolate specific concepts within its Claude 3 Sonnet model. The technique allowed them to extract millions of features, including specific entities like the Golden Gate Bridge as well as more abstract ideas such as gender bias. They…