Matt Fitzpatrick, CEO of Invisible Technologies, joins Bloomberg Intelligence’s Mandeep Singh on this episode of the Tech Disruptors podcast to discuss the use of reinforcement learning by frontier model providers for training, as well as the company’s enterprise business. They explore reinforcement learning from human feedback (RLHF), agentic AI and self-improvement, the evolution of large language models, coding agents and contact centers. Read more ›
This is the third piece in a series on a prompt injection vector that leaked a system-prompt secret from GPT-4o using nothing but a… Read more ›
Carnivorous animal taken to hospital in an unstable condition after escaping from quarantine facility in Paradise Country on 2 JuneGet our , or After two weeks eluding thermal imaging drones and teams of zookeepers, in the Gold Coast has finally been found – and taken to hospital in an unstable condition.The devil, Mary, escaped a quarantine facility in the Paradise Country theme park – more than 15,000km north of her native range – in the early morning dark of 2 June, with zookeepers believi... Read more ›
Here’s a fact that surprises most people learning about AI for the first time: the core mathematical idea behind deep neural networks has… Read more ›
Amazon SageMaker AI provides fully managed real-time inference hosting for machine learning models. You deploy a model to a SageMaker endpoint backed by one or more compute instances, and SageMaker handles provisioning and scaling. SageMaker supports multiple endpoint architectures. This post focuses on the two most relevant to generative AI workloads with detailed observability: Single-model endpoints (SME) and Inference component (IC) endpoints. Read more ›
Cyberattacks now cost the global economy trillions, yet most people still struggle to understand what actually happens when a breach occurs. Research by Associate Professor Sky Marsen, an applied linguist and communications course director at Flinders University, and Professor Robert Biddle, a computer scientist at Carleton University in Canada, suggests a surprising reason for this gap: The language used to explain cybersecurity may be part of the problem. Read more ›
Learn how Ray Serve LLM + vLLM stack achieves up to 24x higher throughput with direct streaming, HAProxy integration, and a new vLLM Ray executor backend. Read more ›
Dell’s new high-end Nvidia-based server is a centerpiece for its integrated AI platform aimed at enterprise customers with major AI infrastructure plans. The The Dell AI Factory with Nvidia typically includes Dell PowerEdge AI servers; Nvidia GPUs, including the H100, H200, Blackwell, and others; high-speed networking; Dell PowerScale and PowerStore storage capacity; and AI software such as Nvidia’s AI Enterprise and NIM inference microservices. The liquid-cooled XE8812 delivers a “generation... Read more ›
AutoJack is a novel exploit chain showing how a single malicious webpage can turn an AI browsing agent into a remote code execution vector on the host machine. By abusing trust in localhost, missing authentication, and unsafe parameter handling, attackers can trigger arbitrary process execution through AutoGen Studio’s MCP WebSocket. The research highlights a broader pattern - when agents can browse untrusted content and access local services, traditional boundaries like localhost are no long... Read more ›
A practical guide to building a Retrieval-Augmented Generation (RAG) application using Spring AI, Gemini, Ollama, PostgreSQL, and PGVector. Read more ›
A vector database stores data as vectors (embeddings) and finds items by meaning, not exact match. What it is, how similarity search works, how it differs from a normal database, and why RAG and AI search depend on it. Read more ›
In this article, you will learn how to build AI agents that can browse and interact with real websites using Playwright, browser-use, and LangGraph. Read more ›
When deploying a new VMware Cloud Foundation (VCF) 9.1 Fleet, users specify either a Simple or High Availability (HA) deployment model along with the desired deployment size: Small, Medium or Large. Unlike components such as NSX Manager, VCF Operations and VCF Automation, where deployment size and availability are configured independently, VCF Management Services (VCFMS) determines […] Read more ›
Data engineering underpins modern analytics, business intelligence, and digital transformation. Reliable data pipelines are critical for… Read more ›
Tiny autograd engine + neural net in Java, a readable micrograd port with an interactive backprop playground - anand-krishanu/micrograd4j Read more ›
The main focus of machine learning (ML) is making decisions or predictions based on data. There are a number of other fields with significant overlap in technique, but difference in focus: in economics and psychology, the goal is to discover underlying causal processes and in statistics it is to find a model that fits a data set well. In those fields, the end product is a model. In machine learning, we often fit models, but as a means to the end of making good predictions or decisions. Read more ›
Vespa implements several useful features for customizing and improving Vector Search. Here, we will go into detail of each of them. The post appeared first on <a href=" Read more ›
From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
In this article, we propose a new deep learning approach to approximate operators related to parametric partial differential equations (PDEs). In particular, we introduce a new strategy to design specific artificial neural network (ANN) architectures in conjunction with specific ANN initialization schemes which are tailor-made for the particular approximation problem under consideration. In the proposed approach, we combine efficient classical numerical approximation techniques with deep oper... Read more ›