Learn how to build a generative AI-based support operations platform on AWS that converts training videos into structured SOPs, applies…
Tag: AI
AutoXRD: Autonomous LLM Agents and Comprehensive Evaluation for Powder Diffraction Analysis
arXiv:2609.00070v1 Announce Type: cross Abstract: Powder X-ray diffraction (XRD) is central to materials characterization, yet reliable end-to-end…
How an AWS team detects dashboard content failures at scale using Amazon Bedrock
Business intelligence dashboards can fail silently, showing blank, stale, or wrong data even when every infrastructure monitor reports healthy. Learn how…
RW-LoRA: Communication-Efficient Decentralized LoRA Fine-Tuning via Random Walks
arXiv:2609.00078v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning methods such as LoRA have become a standard approach for adapting large…
Trinity: Agentic AI-powered transition planning for students with disabilities
Learn how University Startups and its AWS partner g/d/n/a scaled Trinity, a conversational AI solution for students with disabilities, into a serverless…
Life Operators: a self-evolving framework for multiscale life modelling
arXiv:2609.00068v1 Announce Type: cross Abstract: Medical AI is moving beyond recognition towards clinical dialogue and longitudinal prediction. Yet a…
Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning
arXiv:2609.00064v1 Announce Type: cross Abstract: In-context learning (ICL) lets large language models adapt to new tasks from demonstrations, and…
Scientific Agent Skills: A Library of Procedural Knowledge for Research Agents
arXiv:2609.00065v1 Announce Type: cross Abstract: A language-model agent asked to analyse an experiment will usually return working code. Whether the…
Do Multimodal LLMs See Before They Read? Diagnosing Contextual Sycophancy
arXiv:2609.00067v1 Announce Type: cross Abstract: External text can override conflicting image evidence in multimodal large language models, a failure we…
Medical Causal Hypothesis Verification with Large Language Models
arXiv:2609.00063v1 Announce Type: cross Abstract: The growing use of large language models (LLMs) for search and information retrieval underscores the…