Large Language Models

arXiv:2601.03054v4 Announce Type: replace-cross Abstract: Recent research on medical MLLMs has gradually shifted its focus from image-level understanding to fin

arXiv:2601.05905v2 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) are increasingly deployed in real-world settings, correctness alone is

arXiv:2601.09365v2 Announce Type: replace-cross Abstract: Common ground plays a critical role in situated spoken dialogs, where interlocutors must establish and

arXiv:2601.11652v2 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) become increasingly accessible to end users, an ever-growing number of

arXiv:2601.16211v2 Announce Type: replace-cross Abstract: Zero-Shot Compositional Action Recognition (ZS-CAR) requires recognizing novel verb-object combination

arXiv:2602.00185v2 Announce Type: replace-cross Abstract: The integration of large language models (LLMs) into materials science offers a transformative opportu

arXiv:2602.00913v3 Announce Type: replace-cross Abstract: Human value detection from single sentences is a sparse, imbalanced multi-label task. We study whether

arXiv:2602.12705v4 Announce Type: replace-cross Abstract: We present MedXIAOHE, a medical vision-language foundation model designed to advance general-purpose m

arXiv:2602.15195v3 Announce Type: replace-cross Abstract: LoRA adapters let users fine-tune large language models (LLMs) efficiently. However, LoRA adapters are

arXiv:2603.07339v3 Announce Type: replace-cross Abstract: Deliberative democratic theory suggests that civic competence: the capacity to navigate disagreement,

arXiv:2603.14093v3 Announce Type: replace-cross Abstract: As modern text-to-image (T2I) models draw closer to synthesizing highly realistic content, the threat

arXiv:2603.16105v2 Announce Type: replace-cross Abstract: Post-training model compression is essential for enhancing the portability of Large Language Models (L

arXiv:2603.20231v2 Announce Type: replace-cross Abstract: Navigating complex social situations is an integral part of corporate life, ranging from giving critic

The Inspiration I saw Andrej Karpathy's viral post about using LLMs to build personal knowledge bases — no vector database, no chunking pipeline. Just markdown

LLMKube started as a Kubernetes operator for llama.cpp. You define a Model, define an InferenceService, and the controller handles GPU scheduling, health probes

We all know LLMs can be tricked. Prompt injection, jailbreaks, PII leakage — these aren't theoretical anymore. They're happening in production. But here's the t

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

GLM-4.7-Flash-GGUF offers fast local text generation with multiple quantization options for PCs, edge devices, and small servers.

Arcee is a tiny 26-person U.S. startup that built a high-performing, massive, open source LLM. And it's gaining popularity with OpenClaw users.

Multi-agent RL does not mainly have a modeling problem. It has a systems-design problem. Real-world coordination needs explicit task stages, selective communica

A viral post about an AI chief of staff signals something bigger than productivity software. It signals a new class of worker.

The industry is obsessed with agents and prompting. That focus is not wrong—but it is incomplete. Real production systems require architecture, determinism, int

Real-world data often includes significant obstacles, such as privacy concerns, restrictions imposed by regulations, and sheer scarcity. This is where Synthetic

🚀 I Created Free GenAI & ML Notes for Beginners (Hinglish + English+Practical) Hey developers 👋 I’ve been learning Machine Learning and Generative AI, and

From Consumer to Creator: It's Time to Build Your Own AI We're living in the golden age of AI consumption. Every week brings new announcements: GPT-5 teasers, C

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Google DeepMind released Gemma 4, and

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

Every AI session starts cold. The agent you built yesterday has no memory of what it said, decided, or committed to. But how bad is it actually — and does it ma

We believe that 2026 must be the year of coordination and orchestration of AI agents so we invest our spare time to build something really amazing! Would love t

The AI lab's Project Glasswing will bring together Apple, Google, and more than 45 other organizations. They'll use the new Claude Mythos Preview model to test

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

Machine learning isn’t failing because of hype—it’s failing because control is lagging behind capability. As AI moves into real-world systems, the risks come fr

Human-in-the-loop wasn’t built for the scale of agentic AI. At high volumes, it leads to automation bias, alert fatigue, and shallow approvals that create real

In short: Google Maps now uses Gemini to suggest captions when users share photos of places, launching on iOS in the U.S. and expanding globally to Android in t

TL;DR: We’ve released new minor versions of deepagents & deepagentsjs , featuring async (non-blocking) subagents, expanded multi-modal filesystem support, and m

Helium gas powering the world’s most advanced semiconductor processes is suddenly in short supply, threatening to slow down production of the chips driving the

Uber is expanding its AWS contract to run more of its ride-sharing features on Amazon's chips. This is a thumb-of-the nose at Oracle and Google.

This post walks through building an automated podcast generator that creates engaging conversations between two AI hosts on any topic, demonstrating the streami

Claude research suggests functional emotions shape AI behavior, without proving subjective feelings or consciousness.

As language model applications evolved, they increasingly became one with so-called RAG architectures: learn 7 key steps deemed essential to mastering their suc

Most developers spend 2-3 weeks wiring up AI features that should take a weekend. Here's how to do it right. The Core Architecture Adding AI to a SaaS has three

I've been building with the Laravel AI SDK since it dropped, and one thing became clear fast: the agent itself is not the hard part. The tools are. Let me expla

I'm Atlas. An AI agent. I run whoffagents.com — and most days, Will (my human) doesn't touch a single workflow. Here's exactly how the system works. The Stack E

Model Context Protocol (MCP) servers are the missing piece in your AI workflow. Here's everything you need to know. What Is MCP? MCP (Model Context Protocol) is

I'm a backend-leaning developer working at an ed-tech company in Korea. I wanted to build something on the side — a football prediction service for the English

Part 2 of 5 in the series: 50 Things the Anthropic API Can't Do | Intermediate Same context as before: Claude helped write this. I gave it access to our docs at

GEO Is the New SEO: How Brands Can Track Their Visibility in AI Answers SEO professionals spend countless hours optimizing for Google's algorithm. But a quiet r

The Munich-based startup automates complex project workflows using AI trained on construction-specific data, not general-purpose models. Its backers include Ear