Large Language Models

Google Cloud’s new markdown standard doesn’t kill RAG — it exposes exactly where RAG was never meant to work alone Continue reading on Medium »

Kubernetes revolutionized infrastructure by making compute declarative. Continue reading on Artificial Intelligence in Plain English »

A few years ago, "running an LLM on your own machine" mostly meant a slow, low-quality toy. That's no longer true. In 2026, open-weight models routinely match o

Prompt engineering discussions online skew heavily toward code generation and RAG pipelines. There's...

Unlocking the Power of Open-Weight LLMs: A Developer's Guide to API Integration

I used to think AI made mistakes because it wasn't trained well enough. Turns out, that's only part...

Taming LLM Tail Latency: Dynamic Request Hedging with Java's JEP 480 Structured...

Most people aren't bad at using AI. They're bad at asking. I've spent the last few months deep in...

In the first few weeks I used OpenAI’s ChatGPT, I was convinced I had found the ultimate productivity tool Continue reading on Artificial Intelligence in Plain

As developers move from AI prototyping to production, the most painful hurdle isn't model...

The One Thing AI Can’t Do. Continue reading on Activated Thinker »

The LLM Optimization Challenge You've deployed your AI agents. They work beautifully. But...

Imagine typing a question the way you’d ask a coworker, something like “How many conversations did we have last month?” and getting a real… Continue reading on

Lessons from building an enterprise GenAI assistant in the real world. Continue reading on Medium »

Switching LLM providers isn’t an endpoint change — it’s an architecture problem. Here’s how to solve it before you’re forced to. Continue reading on Medium »

Most teams think about AI model selection as a first-choice problem. Continue reading on Medium »

AI CONCEPTS MULTIMODAL AI BEGINNER GUIDE 2026 Continue reading on Medium »

Artificial intelligence continues to transform the way people learn, work, and create, and ChatGPT 2026 introduces a range of exciting… Continue reading on Medi

Artificial intelligence continues to evolve at an impressive pace, and the latest ChatGPT Features released in 2026 demonstrate how AI is… Continue reading on M

<img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazon

a quiet day lets us digest the world's most significant model launch... to date.

Why does a model trained on basically the whole internet forget what you told it two minutes ago? Continue reading on Medium »

arXiv:2607.02686v1 Announce Type: new Abstract: Reinforcement learning agents operating under partial observability must act on incomplete information, making t

arXiv:2607.02879v1 Announce Type: new Abstract: Current benchmarks for evaluating large language models (LLMs) in medical calculation are largely based on simpl

arXiv:2607.02914v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated remarkable capabilities across diverse applications, yet ensuring

arXiv:2607.02983v1 Announce Type: new Abstract: Recent reasoning-centric Large Language Models (LLMs) have made significant strides, yet they predominantly oper

arXiv:2607.03025v1 Announce Type: new Abstract: The use of Large Language Models (LLMs) across diverse areas of human activity-ranging from everyday tasks to sa

arXiv:2607.03091v1 Announce Type: new Abstract: Silicon sampling-using large language models (LLMs) to simulate human survey respondents-has emerged as a promis

arXiv:2607.03162v1 Announce Type: new Abstract: LLM-powered agents struggle with personalization when users issue raw, underspecified queries. In this setting,

arXiv:2607.03228v1 Announce Type: new Abstract: LLM-based agents offer new opportunities for automating business process execution beyond the limits of rule-bas

arXiv:2607.03303v1 Announce Type: new Abstract: While Large Language Models (LLMs) can provide personalized support in learning, several studies have raised con

arXiv:2607.03397v1 Announce Type: new Abstract: Text-to-Image diffusion models often propagate harmful bias inherited from the training data. Existing bias miti

arXiv:2607.03478v1 Announce Type: new Abstract: Post-training of frontier language models is conducted on curated task suites, and inevitably leaves a distribut

arXiv:2607.03530v1 Announce Type: new Abstract: We introduce MentalThink, a visual-symbolic reasoning paradigm that equips Multimodal LLMs (MLLMs) with an execu

arXiv:2607.03744v1 Announce Type: new Abstract: Automatic depression detection from clinical interviews typically models the semantic content and acoustic chara

arXiv:2607.03748v1 Announce Type: new Abstract: Unified multi-modal models (UMMs) have shown promising interleaved text-image reasoning capabilities, yet effect

arXiv:2607.03870v1 Announce Type: new Abstract: As LLMs generate increasingly long outputs, effective uncertainty estimation must identify errors at fine-graine

arXiv:2607.03935v1 Announce Type: new Abstract: Self-evolving frameworks usually optimize task solutions while treating the surrounding harness as fixed. We int

arXiv:2607.03948v1 Announce Type: new Abstract: We study the online routing problem in large language model serving, where requests arrive sequentially and must

arXiv:2607.04010v1 Announce Type: new Abstract: Bangladesh has an estimated 1.17 mental-health professionals per 100,000 population and only six child psychiatr

arXiv:2607.04156v1 Announce Type: new Abstract: Scientific equation discovery must combine broad domain priors with strict numerical testing. Symbolic regressio

arXiv:2607.04222v1 Announce Type: new Abstract: Interpretability methods aim to reveal the features represented inside large language models (LLMs). Many existi

arXiv:2607.04261v1 Announce Type: new Abstract: Current Legal Judgment Prediction (LJP) is constrained by its reliance on post-hoc judicial materials, increasin

arXiv:2607.04329v1 Announce Type: new Abstract: Large language models increasingly operate in settings where humans are active collaborators rather than passive

arXiv:2607.04371v1 Announce Type: new Abstract: We present Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of Nemotron-3-Super optimized for interactive de

arXiv:2607.04389v1 Announce Type: new Abstract: It is increasingly common to aggregate predictions from multiple LLMs, each with domain expertise or access to p

arXiv:2607.04394v1 Announce Type: new Abstract: AI reasoning has become a central focus in contemporary artificial intelligence, largely driven by the success o

arXiv:2607.04412v1 Announce Type: new Abstract: Reinforcement learning (RL) for non-verifiable instruction following increasingly relies on LLM judges with prom