Most operators assume their agents are running efficiently. They're not. Not because anyone built them badly, but because nobody audits them. You build the thin...
Fine-tuning Large Language Models (LLMs) has become essential for domain adaptation, but its memory-intensive property exceeds the capabilities of most GPUs. To...
Overview Most neuro‑symbolic systems inject rules written by humans. But what if a neural network could discover those rules itself? In this experiment, I exte...
Constrained multi-objective optimization problems (CMOPs) are of great significance in the context of practical applications, ranging from scientific to enginee...
🎉 Today’s Release: GPT‑5.4 mini & GPT‑5.4 nano Our newest small‑model family brings many of the strengths of GPT‑5.4 to faster, more efficient models that are...
Large Language Models-Cognitive Assistants (LLM-CAs) can enhance Quality Management Systems (QMS) in manufacturing, fostering continuous process improvement and...
!https://www.androidauthority.com/wp-content/uploads/2024/02/Google-Gemini-logo-on-smartphone-stock-photo-7.jpg TL;DR - Google is testing a feature that lets yo...
The dynamic multi-mode resource-constrained project scheduling problem (DMRCPSP) is of practical importance, as it requires making real-time decisions under cha...
Introduction Most AI models don't actually “know” your data. They generate answers based on what they were trained on — which means they can be outdated, incor...
Preference language Words like “prefer,” “try to,” “when possible,” and “ideally” turn a rule into a suggestion. The model treats suggestions as optional — whi...
The Problem: AI Sounds Like AI GPT‑4.5, when given a human‑like persona, was identified as human by 73 % of evaluators — surpassing the recognition rate of act...
For the independent food‑truck owner, a surprise health inspection isn’t just a check‑up—it’s a frantic scramble. It means digging through months of handwritten...
markdown !BotGuardhttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuplo...
!https://cdn.platum.kr/wp-content/uploads/2026/03/LilysAI-1024x625.png 앱 출시 AILilysAI가 안드로이드 전용 앱을 정식 출시했습니다. 구글 플레이스토어에서 다운로드할 수 있으며, 기존 계정을 연동해 별도 설정 없이 바로 이용...
Introduction Wage information shapes important decisions: what jobs people apply for, whether they negotiate, and whether a particular career path is worth pur...
!Cover image for title: Why I Built an AI with a Spine: Anchoring Behavioral Integrity in the Gemini Live APIhttps://media2.dev.to/dynamic/image/width=1000,heig...
← Back to Articleshttps://huggingface.co/blog Authors !Shuverhttps://huggingface.co/avatars/d116ee7bef2ca4f33d68a7883ddcdbbf.svghttps://huggingface.co/shuver !...
The Code python import asyncio from agents import Agent, Runner, function_tool from openai.types.responses import ResponseTextDeltaEvent @function_tool def loo...
markdown !Comparison of human language and LLM tokenshttps://media2.dev.to/dynamic/image/width=800,height=,fit=scale-down,gravity=auto,format=auto/https%3A%2F%2...
Deepfake rumors started after social media users claimed Netanyahu is depicted in a video with six fingers on his right hand see image below. Image: Netanyahu w...
Traditional Image Quality Assessment (IQA) metrics typically fall into one of two extremes: rigid, hand-crafted mathematical models or 'black-box' deep learning...
!NVIDIA DSX Air Boosts Time to Token With Accelerated Simulation for AI Factorieshttps://blogs.nvidia.com/wp-content/uploads/2026/03/ethernet-corp-blog-dsx-air-...
AI Factories — From Months to Days The ability to set up AI factories in simulation—cutting deployment time from months to days—is accelerating the next indust...
Lawsuit Overview Encyclopedia Britannica has suedhttps://tmsnrt.rs/4sowXqI OpenAI, alleging its AI models were trained on nearly 100,000 copyrighted articles a...
Z.ai Announces GLM‑5‑Turbo Chinese AI startup Z.ai formerly Zhipu AI, known for its powerful open‑source GLM family of large language models LLMs, has introduc...
markdown Desire Paths: From City Parks to Modern Organizations When you walk through a city park, you’ll often see narrow dirt trails cutting across the grass—b...
Vision-Language-Action (VLA) models excel in static manipulation but struggle in dynamic environments with moving targets. This performance gap primarily stems ...
Scaling depth is a key driver for large language models (LLMs). Yet, as LLMs become deeper, they often suffer from signal degradation: informative features form...
Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for robotic manipulation, in which reliable action prediction critically depen...
Can AI make progress on important, unsolved mathematical problems? Large language models are now capable of sophisticated mathematical and scientific reasoning,...
Generating accurate glyphs for visual text rendering is essential yet challenging. Existing methods typically enhance text rendering by training on a large amou...
Existing behavioral alignment techniques for Large Language Models (LLMs) often neglect the discrepancy between surface compliance and internal unaligned repres...
Recent video diffusion models have made remarkable strides in visual quality, yet precise, fine-grained control remains a key bottleneck that limits practical c...
We present HSImul3R, a unified framework for simulation-ready 3D reconstruction of human-scene interactions (HSI) from casual captures, including sparse-view im...
Reinforcement learning for code generation relies on verifiable rewards from unit test pass rates. Yet high-quality test suites are scarce, existing datasets of...
Explainability is widely regarded as essential for trustworthy artificial intelligence systems. However, the metrics commonly used to evaluate counterfactual ex...
SAM 3D Body (3DB) achieves state-of-the-art accuracy in monocular 3D human mesh recovery, yet its inference latency of several seconds per image precludes real-...
Accurate process supervision remains a critical challenge for long-horizon robotic manipulation. A primary bottleneck is that current video MLLMs, trained prima...
Recent conversational memory systems invest heavily in LLM-based structuring at ingestion time and learned retrieval policies at query time. We show that neithe...
Existing video-to-audio (V2A) generation methods predominantly rely on text prompts alongside visual information to synthesize audio. However, two critical bott...
We study linear contextual bandits under adversarial corruption and heavy-tailed noise with finite (1+ε)-th moments for some εin (0,1]. Existing work that addre...
Deep search capabilities have become an indispensable competency for frontier Large Language Model (LLM) agents, yet the development of high-performance search ...
There have been numerous attempts to distill quadratic attention-based large language models (LLMs) into sub-quadratic linearized architectures. However, despit...
This article presents an overview of approaches to modeling the human psyche in the context of constructing an artificial one. Based on this overview, a concept...
Physics-informed neural networks (PINNs) and neural operators (NOs) for solving the problem of diffraction of Extreme Ultraviolet (EUV) electromagnetic waves fr...
What if a world simulation model could render not an imagined environment but a city that actually exists? Prior generative world models synthesize visually pla...
Four-dimensional scanning transmission electron microscopy (4D-STEM) provides rich, atomic-scale insights into materials structures. However, extracting specifi...
This paper develops new variance-reduction techniques for the forward-reflected-backward splitting (FRBS) method to solve a class of possibly nonmonotone stocha...
