Large Language Models

You upgraded to the smartest model and your best prompts stopped landing. Six habits that fix it. Continue reading on Data Science Collective »

You upgraded to the smartest model and your best prompts stopped landing. Six habits that fix it. Continue reading on Data Science Collective »

The models are getting better. As you may have seen on multiple graphs presented here at the World's Fair, that 50% success-rate task duration horizon is growin

Stop Treating LLM Memory as a Database: The Shift Toward Memory as a Skill For the last two years, the industry has been obsessed with RAG. We've spent countles

💡 Key Highlights Agentic AI Firms : Embracing Generative AI Business for Enhanced Decision-Making and Scalability. Generative AI Business : Leveraging Large La

10 paper AI nổi bật nhất trên Hugging Face hôm nay: xu hướng mới từ agent memory, 3D...

How I'm Building MCP Servers for a Language Claude Doesn't Know Well Swahili has roughly...

Published: June 30, 2026 · 15 min read · Focus keyword: Qwen 3.6 27B local deployment <img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=sc

I Tested Four Chinese LLMs So You Don't Have To — Here's What I Found Look, I'll be honest with you — I almost didn't write this piece. The Western AI giants ha

🚀 𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗖𝗮𝗿𝗲𝗲𝗿 𝘄𝗶𝘁𝗵 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗔𝗜 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴! 🎯 Build job-ready #AI skills with #Visualpath through hands-on tra

Large Language Models (LLMs) have transformed what's possible in education. Instead of simply...

Building an AI-Powered Language Learning Platform: Lessons We Learned When we started...

FastAPI + LLM: Build a Production-Ready AI API in 30 Minutes Need to serve an LLM through...

It's 2am. Your JSON parse errors are up 12%. Latency: normal. Uptime: 100%. Your prompt didn't...

Todo el mundo repite lo mismo: para que un modelo de lenguaje funcione, necesitas escala. Más parámetros, más datos, más GPUs. Y es verdad… Continue reading on

Last week I did the thing the marketing told me I could finally do. Continue reading on Medium »

Honestly, i Cut My LLM Bill 40x: A Backend Engineer's Migration Notes Last month I opened my OpenAI...

Every team that runs LLMs in production eventually hits the same wall. The provider goes down, throttles you, slows to a crawl, or raises… Continue reading on M

When I first started learning about Retrieval-Augmented Generation, search felt like the simple part. You ask a question, look up the… Continue reading on Mediu

Large prompts create measurable Mental Load — the model can’t tell. Why external Self-Care is a structural obligation. Continue reading on Medium »

A gateway sits between your app and the model providers: one API, key management, caching, failover,...

Day 2: The Gating Crisis — Can You Act as a Sparse MoE Router Without Dropping Tokens? 🧠⚡ Mixture of Experts (MoE) models (like Mixtral 8x7B, DeepSeek-V3, and

A request can fail at three moments: before you send it, while it runs, or after it returns. Different tools and habits cover different moments. This is a direc

MCP is basically turning AI from ** 🧠 "Who are you again?" New chat. New conversation. Everything...

Real-world LLM API latency comparison: DeepSeek vs GPT-5 vs Claude vs Gemini. Time-to-first-token, tokens per second, and geographic latency benchmark

When AI Explains More Than It Knows Continue reading on Medium »

Vector RAG burns massive context on blind file searches — here is how deterministic knowledge graphs traverse codebases for 99% less. Continue reading on Medium

The hidden math trick that could make ChatGPT-style AI 10x cheaper to run, explained like you’re hearing about it over coffee Continue reading on Stackademic »

The hidden math trick that could make ChatGPT-style AI 10x cheaper to run, explained like you’re hearing about it over coffee Continue reading on Stackademic »

Anthropic shipped Claude Sonnet 5, and the takes I saw were predictable: "It replaces Opus." "It is just another Sonnet refresh." "The benchmark chart means you

ChatGPT and Claude forget context in long conversations because every model has a fixed context window — once the thread outgrows it, the oldest turns get dropp

How I Cut Our LLM Bill by 40x — A CTO's Migration Playbook Three months ago I opened our monthly infrastructure invoice and nearly choked on my coffee. We were

The room had no windows and the demo was going perfectly. Every question the team threw at the model, it answered. A CTO nodded. The pilot was approved. Everyon

If you ask an LLM for structured output and validate it against a schema, you already know the...

I still remember the first time I used ChatGPT. I stared at my screen, typed a random prompt, and watched as it spat out a perfect… Continue reading on Medium »

Token pricing is the part of AI API documentation that confuses more people than any other. The numbers are small ($0.15 per million… Continue reading on Medium

arXiv:2607.00032v1 Announce Type: new Abstract: Many information systems are built around documents: self-contained units optimised for print production and lin

arXiv:2607.00211v1 Announce Type: new Abstract: Epistemic thinking plays a central role in students' learning processes when applying generative artificial inte

arXiv:2607.00233v1 Announce Type: new Abstract: How do two agents invent a shared language from scratch? In a Lewis signaling game, a sender and receiver must c

arXiv:2607.00248v1 Announce Type: new Abstract: We present Seed2.0, a model series that takes a meaningful step toward solving complex, real-world tasks. Our ap

arXiv:2607.00454v1 Announce Type: new Abstract: Agricultural advisory systems face a fundamental tension: static agronomic guidelines offer consistent, evidence

arXiv:2607.00527v1 Announce Type: new Abstract: Generative AI now enables games to produce dialogue, quests, characters, images, and worlds at runtime. Yet gene

arXiv:2607.00572v1 Announce Type: new Abstract: Understanding how aligned LLMs internally represent safety is critical for diagnosing alignment vulnerabilities,

arXiv:2607.00692v1 Announce Type: new Abstract: Long-horizon LLM agents accumulate tool results, files, plans, and user constraints that are too structured to b

arXiv:2607.00972v1 Announce Type: new Abstract: Trustworthy deployment of Agentic Retrieval-Augmented Generation (RAG) systems requires mechanisms for estimatin

arXiv:2607.01223v1 Announce Type: new Abstract: When should an AI system's answer be trusted? Formal proof assistants offer certainty but cannot reach most of t

arXiv:2607.01224v1 Announce Type: new Abstract: Memory expertise is a learned skill: knowing what to encode, when to retrieve, and how to organize knowledge--a

arXiv:2511.18050v1 Announce Type: cross Abstract: Diffusion transformers have recently delivered strong text-to-image generation around 1K resolution, but we sh