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Real-time coverage of artificial intelligence breakthroughs. From Large Language Models and AI Agents to multimodal systems β curated, concise, cutting-edge.
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Beyond LoRA: Can You Beat the Most Popular Fine-Tuning Technique?β9
Can new fine-tuning methods outperform LoRA in 2026? This benchmark compares DoRA, Delta-LoRA, and prompt-based alternatives for performance, memory, and speed.
Dr-DCI: Scaling Direct Corpus Interaction via Dynamic Workspace Expansionβ9
Dr-DCI scales direct corpus interaction by dynamically expanding workspaces via retriever-steered actions, achieving 71.2% accuracy in Browsecomp-Plus benchmark...
Topology-Aware Data Movement for Disaggregated GPU Inferenceβ10
Topology-aware KV cache transfer cuts GPU inference latency by 3-18x via NVLink, InfiniBand, and CXL optimizations.
The Hitchhiker's Guide to Agentic AI: From Foundations to Systemsβ9
A practical guide to building autonomous AI agents in 2026, covering foundations, alignment, and multi-agent systems for engineers.
Prompt, Context, Loop: The Three Engineering Layers Every RAG System Is Built Onβ10
Explore the three engineering layers of RAG systems: prompt, context, and loop. Learn how each layer works and why their evolution isn't a simple sequence.
Building CLI Agents with Python and Ollamaβ10
Build a Python CLI agent with Ollama to automate terminal tasks using local LLMs, tool calling, and code execution workflows.
WaiT for the Signal: Simple Frequency-Aware Flow-Matchingβ10
WaiT uses wavelet-based frequency decomposition to stage image generation, improving quality and efficiency. It achieves state-of-the-art FID scores on ImageNet...
MosaicLeaks: Can Your Research Agent Keep a Secret?β9
MosaicLeaks exposes a privacy flaw in AI research agents, allowing attackers to combine harmless queries to reconstruct sensitive data from HR, finance, and hea...
DiScoFormer: One Transformer for Density and Score, Across Distributionsβ9
The DiScoFormer Transformer unifies density estimation and score functions across arbitrary distributions, enabling single-model generative AI without retrainin...
Google DeepMind Sounds Alarm on Risks of Multi-Agent AI Systems at Scaleβ9
Google DeepMind warns of risks from multi-agent AI systems at scale, including coordination failures, adversarial exploitation, and emergent superintelligent sw...
