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Agents

What are Agentic Workflows?

DGX agent

**Agentic Workflows** enable automated systems to execute complex tasks by orchestrating multiple agents that interact with each other and external services. They delegate subtasks, monitor progress,

agentsdatabricks

6 Aug 2026

Agents

LiveEvalBench: Toward Open-World Evaluation for Web Generation

DGX agent

arXiv:2608.03689v1 Announce Type: new Abstract: Large language models are increasingly capable of synthesizing executable frontend projects, yet existing benchmarks still treat web generation as a sta

Search: “engineering”

What are Agentic Workflows?

LiveEvalBench: Toward Open-World Evaluation for Web Generation

MT-Web2Code: Benchmarking Coding Agents on Multi-Turn Regional Reconstruction and Localized Modification

None of this was us. Day 1 (and the first 48 hours) belonged to the open-source community: Generate with it @ComfyUI — native support + offi…

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution

Qwen Developers' responses from their recent Twitter/X AMA

TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models

As AI Increases Demands on Memory, Storage Steps Up

DeepSeek v4 Flash vs. Qwen3.6-27B, 3.5-122B, and Gemma 4 31B Benchmark

early sparks of rsi? Ali Taha @waterloo_intern explains how http://Z.ai's GLM-5.2 (@Zai_org) profiled its SGLang serving path and rewrote bo…

HarnessCompass: Guiding Automatic Harness Evolution toward Generalizable and Effective Agent Harnesses

How Target is enhancing retail discovery and cutting database maintenance by 50% with Spanner Graph

Introducing Database Operations Agents: The future of autonomous database management

PatchAlign3D: Local Feature Alignment for Dense 3D Shape Understanding

Agentic Harness for Real-World Compilers

ALIVE: Warnings Before Exclusion in Budgeted Multi-Source Learning

Best Friends, Not Forever: Evaluating Long-Horizon Persona Collapse and Behavioral Drift in AI Companions

Bootstrapping Self-Supervised Learning of Binary Classification Using Error Bounds: A Case Study on a Robotic Insertion Task

BWM: A Low-Cost High-Fidelity World Simulator for Robot Learning

Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery

'Data center in a Box (on Wheels)' 256Gb VRAM/512Gb RAM AI Server 6-8 Month Operational Review, Stability Write Up, Benchmarks

InferQ: A Database-Oriented Benchmark for Quantum Circuits Simulation

Scaling Scientific Discovery Environments for Turn-Level Agentic RL

Unanticipated Effects of Generative AI on Expertise Pathways and Performance Perception in System Administration

[Release] WinterMix — Qwen3.5-122B-A10B in native MLX: an 82 GiB build that beats 94–95 GiB quants, plus a 68 GiB build for agent swarms

A Graph-Native Bitemporal Memory Store for Conversational AI Agents

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize

IFCMemoryBench: Evaluating Long-Term Memory of LLM-Based Agents in BIM Information Retrieval

Is it just me, or are current LLM benchmarks failing to capture actual usability? (Gemma 4 vs. Gemini/Claude Opus)

KernelGenBench: A Multi-Source and Multi-Chip Benchmark for LLM-based Kernel Generation

Learning Social Robot Navigation By Sensing Human Legs

LM-GRASP: Instance-Specific Language Models for Combinatorial Construction via Online Imitation Learning

Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork

PUDA: An AI-Native Hardware Harness for Self-Driving Laboratories

RoboBRIDGE: A Modular Framework for Bridging Policies to Robust Real-World Robotic Agents

Safety-Gated Agentic Supervisory Control on a Coupled Distillation Benchmark: Regime Map, Auditable Gate, and Co-Design Findings

What’s new in AI infrastructure and orchestration this month

Can AI agents conduct open-ended AI research? Early evidence from two case studies

InferScale: GPU-Native KV Injection for Personalized LLM Serving

From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon

A Coulomb Particle Model for Learning Kernel Attention in Transformers

ACRL: Adaptive Control of Training-Inference Discrepancy for Stable Reinforcement Learning

Confidently Wrong: Exception Chain Collapse in Frontier LLM Rule Evaluation

Constraint-Bound Agnostic Bayesian Optimization: One Model for All Thresholds

CRAFT: Learn the Schema, Execute the Plan

Detect early and enforce firmly with Google Cloud's enhanced cost controls for AI spend

EditCLEVR: A Paired-Scene Intervention Benchmark for Compositional Faithfulness of Object-Centric Representations

Frequency-Aware Dual-Stream Learning for Balanced Realism and Fidelity in Electron Microscopy Imaging