Large Language Models

In this post, we introduce Amazon Bedrock AgentCore Evaluations, a fully managed service for assessing AI agent performance across the development lifecycle. We

Six weeks ago, a video of Tom Cruise fighting Brad Pitt on a rooftop went viral. It was, of course, not real. It was generated by Seedance 2.0, ByteDance’s AI v

The most interesting thing about building a local AI agent to audit your own content? It flags everything. Not because the agent is broken. Because the content

The canvas has always evolved — from cave walls to parchment, from oil on canvas to pixels on screens. Now we stand at another threshold: AI as a creative mediu

ChatGPT didn't come out of nowhere. It's the result of 60 years of dead ends, one accidental breakthrough, and three completely separate technologies all maturi

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

Who am I to tell you what to do? Let’s start at the end. I’m not a world expert in AI and I don’t have a PhD. I’m not a researcher at OpenAI’s lab and no one in

Most conversations about scaling large language models focus on obvious factors like model size, training data, and GPU power. While those matter, they stop bei

AI companies may be reluctant to risk lower engagement with models that push back. The post Chatbots ‘Optimized to Please’ Make Us Less Likely to Admit When We’

LocoTrainer-4B is a 4-billion parameter specialist agent trained through knowledge distillation from Qwen3-Coder-Next. Unlike general-purpose code analysis tool

In this post, you learn how to build a FinOps agent using Amazon Bedrock AgentCore that helps your finance team manage AWS costs across multiple accounts.

How NVIDIA's AI Data Platform and STX reference architecture are reshaping enterprise storage competition, vendor differentiation, and IT buyer strategy.

Build production AI agents on MongoDB Atlas — with vector search, persistent memory, natural-language querying, and end-to-end observability built in.

Meta continues to lead the industry in utilizing groundbreaking AI Recommendation Systems (RecSys) to deliver better experiences for people, and better results

Make your coding agent more efficient The post How to Make Claude Code Better at One-Shotting Implementations appeared first on Towards Data Science .

TL;DR: Most agentic AI failures in production are not caused by weak models, but by stale data, poor validation, lost context, and lack of governance . MLDS 202

Last week, a local CLI agent offered to "clean up my workspace." I assumed it would delete a few temporary files. Instead, it confidently queued up find . -name

An agent is a while loop. That single sentence is the core thesis of learn-claude-code , a 23k-star project by shareAI-lab that reconstructs the internals of an

NotebookLM helps users summarize, study, write, analyze documents and improve results through smarter prompting.

In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. To

Simply dropping AI into an operation will not deliver positive results without significant work behind the scenes.

Ring's app store will allow the company to target broader use cases beyond security, like elder care or business needs.

I’ve been so surprised by how fast individual builders can now ship real and useful prototypes. Tools like Claude Code, Google AntiGravity, and the growing ecos

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. There are more AI heal

For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from coding to

Build a full-stack AI meeting summarizer with React, FastAPI, and free LLMs. Zero budget, complete code included

A year ago, I had never written a line of code. My background was in psychology research — I spent time at the University of New Mexico's MATEO Lab studying dec

Tired of not seeing real results from AI experiments in your day-to-day work? Wondering how to use AI to fundamentally change the way you work? In this article,

After a few months of nights and weekends, I launched LearnCodeGuide( https://learncodeguide.com ) — an AI tool that analyzes code and finds bugs, security vuln

Introduction When teams first deploy OpenClaw or custom AI agents, the immediate focus is on capability. Does the agent work? Can it execute the task? But withi

You’ve worked hard to build your product catalog. The last thing you want is AI tools like ChatGPT or Google Gemini describing your products inaccurately to pot

Learn how different LLMs impact conversions in your industry. Do not miss our expert panel webinar for practical advice. The post How To Identify Which LLM Is A

arXiv:2603.26782v1 Announce Type: new Abstract: Text-to-level generation aims to translate natural language descriptions into structured game levels, enabling i

arXiv:2603.26838v1 Announce Type: new Abstract: This paper surveys uncertainty-aware explainable artificial intelligence (UAXAI), examining how uncertainty is i

arXiv:2603.26944v1 Announce Type: new Abstract: Predictive modeling on sequential event data is critical for fraud detection and healthcare monitoring. Existing

arXiv:2603.26983v1 Announce Type: new Abstract: Art. 50 II of the EU Artificial Intelligence Act mandates dual transparency for AI-generated content: outputs mu

arXiv:2603.26996v1 Announce Type: new Abstract: We present FormalProofBench, a private benchmark designed to evaluate whether AI models can produce formally ver

arXiv:2603.27076v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for automated tutoring, but their reliability in structured s

arXiv:2603.27116v1 Announce Type: new Abstract: Every major AI memory system in production today organises information by meaning. That organisation enables gen

arXiv:2603.27150v1 Announce Type: new Abstract: Large language models (LLMs) have revolutionized medical reasoning tasks, yet single-agent systems often falter

arXiv:2603.27164v1 Announce Type: new Abstract: The foundational pretraining phase determines a model's capability ceiling, as post-training struggles to overco

arXiv:2603.27169v1 Announce Type: new Abstract: Recent research has demonstrated the effectiveness of large language models (LLMs) in solving combinatorial opti

arXiv:2603.27270v1 Announce Type: new Abstract: Credal sets, i.e., closed convex sets of probability measures, provide a natural framework to represent aleatori

arXiv:2603.27314v1 Announce Type: new Abstract: Music-to-dance generation has broad applications in virtual reality, dance education, and digital character anim

arXiv:2603.27338v1 Announce Type: new Abstract: Recent advancements in language model technology have significantly enhanced the ability to edit factual informa

arXiv:2603.27343v1 Announce Type: new Abstract: Task-completion rate is the standard proxy for LLM agent capability, but models with identical completion scores

arXiv:2603.27355v1 Announce Type: new Abstract: We present a readiness harness for LLM and RAG applications that turns evaluation into a deployment decision wor

arXiv:2603.27360v1 Announce Type: new Abstract: Rebuttal generation is a critical component of the peer review process for scientific papers, enabling authors t