Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression
Google Research has released TabFM, a foundation model for tabular data. It performs zero-shot classification and regression through in-context learning. Predictions come from a single forward pass, with no per-dataset training, hyperparameter tuning, or feature engineering.
The post Google AI Intro...
CUP (Common Useful Python): Building Reliable Python Workflows with Baidu’s Utility Toolkit
In this tutorial, we explore CUP, Baidu's Common Useful Python library, as a practical utility toolkit for stronger Python workflows. We install it in a Colab-friendly environment and walk its subsystems step by step. We cover logging, decorators, nested configuration, caching, ID generation, thread...
Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification
arXiv:2606.30702v1 Announce Type: new
Abstract: Structured tabular data dominates clinical medicine, yet existing benchmarks fail to reflect real-world properties like complex survey sampling, demographic oversampling, and subgroup fairness. We introduce the NHANES Accelerometry Cardiometabolic Ben...
From Search to Synthesis: Training LLMs as Zero-Shot Workflow Generators
arXiv:2606.30704v1 Announce Type: new
Abstract: Large language models (LLMs) excel across a wide range of tasks, yet their instance-specific solutions often lack the structural consistency needed for reliable deployment. Workflows that encode recurring algorithmic patterns at the task level provide...
What Drives Interactive Improvement from Feedback?
arXiv:2606.30774v1 Announce Type: new
Abstract: We study when natural-language feedback produces improvement beyond the gains obtainable from repeated attempts alone. In multi-turn language agent setting, higher final accuracy can reflect useful feedback, but it can also arise from resampling, form...
Contrastive Reflection for Iterative Prompt Optimization
arXiv:2606.30840v1 Announce Type: new
Abstract: LLM agents are becoming central to information retrieval: they issue retrieval queries, synthesize answers, and increasingly serve as judges for IR evaluation. Improving the prompts that control these agents is an optimization problem, but in applied ...
BayesBench: Evaluating LLM Belief Trajectories Under Multi-Turn Evidence Accumulation
arXiv:2606.30850v1 Announce Type: new
Abstract: Large language models (LLMs) are typically deployed in multi-turn conversations, where each turn provides new evidence that should reduce epistemic uncertainty about their environment. Acting rationally then requires inferring the unobserved quantitie...
Linq’s iMessage Apps Bring Payments, Tickets, Flights, and Games Into the iMessage Bubble Through the imessage_app Part
Linq launches iMessage Apps: interactive imessage_app cards that run payments, tickets, flights, and games inside the iMessage thread for agents.
The post Linq’s iMessage Apps Bring Payments, Tickets, Flights, and Games Into the iMessage Bubble Through the imessage_app Part appeared first on MarkTec...
Anthropic has just released Claude Sonnet 5. Sonnet. Had to say it twice. It is the middle child of the Claude family, and the one most people will actually use. It is quick, capable, cheap to run, and free to start. In this article, we go over the latest iteration of the Claude’s Sonnet family […]
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Anthropic launches Claude Sonnet 5 as a cheaper way to run agents
Anthropic’s Claude Sonnet 5 brings stronger agentic capabilities, lower pricing, and improved safety, positioning the model as a cheaper alternative to Opus, GPT-5.5, and Gemini Pro.
Acti puts AI agents directly into your smartphone keyboard
Acti is betting the smartphone keyboard is the next home for AI assistants. The startup's new keyboard for iOS and Android works across apps and lets users create custom AI-powered shortcuts using natural language.
NVIDIA BioNeMo Agent Toolkit Brings Accelerated AI to Life Sciences Researchers in Claude Science
Life sciences has entered an era of computational scale, and for more than a decade, NVIDIA has built the full GPU-accelerated computing stack — spanning hardware, frameworks, libraries, models, microservices and domain-specific tools — to help researchers run more sophisticated workflows and iterat...
Anthropic’s Claude Science bets on workflow, not a new model, to win over scientists
Anthropic's Claude Science is a workbench that gives scientists one environment to do computational research, saving them from the need to bounce between databases, pipelines, and tools.
AI agents often fail because their instructions, or skills, are manually modified with no guarantee of improvement. Learn how SkillOpt turns skill editing into a training process, making agent behavior more reliable without changing model weights.
The post SkillOpt: Agent skills as trainable paramet...
Context Engineering for RAG : The Four Typed Inputs Behind Every RAG Answer
Enterprise Document Intelligence [Vol.1 #7bis] - Tobi Lütke and Andrej Karpathy named the practice in 2025. For a single document, each brick emits typed pieces that converge on one LLM call. Corpus, conversation, and tool extensions are follow-up work
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How NVIDIA’s Inference Software Stack Powers the Lowest Token Cost
As organizations move from AI pilots to production AI factories, infrastructure decisions have shifted from peak chip specifications to cost per token: how many useful tokens they can deliver per dollar, per watt and within required latency targets. Codesigned with NVIDIA GPUs, CPUs, networking and ...