Large Language Models

TL;DR Replayed 27 real historical tasks from Jarvis (my LangGraph agent, ~90 tools) through qwen3-coder:30b on an RTX 3090, scored against Claude's actual produ

Retrieval-Augmented Generation (RAG) has become a standard approach for building LLM applications grounded in private or domain-specific… Continue reading on Me

For the longest time, I hardcoded a single LLM model in my production stack. After months of usage, I realized this was a terrible financial decision. In 2026,

The first time my scoring pipeline ran against a full day's batch, it took 47 minutes and cost $86. The second run took three hours because half the requests hi

🎓 Distill a model yourself (real softmax + real gradient descent): https://dev48v.infy.uk/ai/days/day23-distillation.html The problem: big models are expensive

Every speculative decoding system I’ve looked at makes the same trade. You either get a drafter that’s accurate but slow, or fast but… Continue reading on Mediu

Your vector database is returning results. Your retrieval pipeline is clean. But when you connect AgentCore to your production knowledge base, the answers drift

The way we think about AI is changing — not incrementally, but fundamentally. We’re no longer building smarter hammers. We’re building… Continue reading on Medi

IA local vs ChatGPT para empresas: qué usar y cuándo Como experto en IA local y consultor de tecnología, he visto cómo las empresas se enfrentan a la decisión d

Ia educacion docentes prompts chatgpt — artículo de Itelnet Consulting 5 Prompts de IA que Todo Profesor Debería Usar en 2026 La integración de la inteligencia

Business intelligence is shifting from static dashboards to interactive, language-driven interfaces. Instead of learning SQL or navigating drag-and-drop builder

We are building a conversational BI agent that turns plain English questions into SQL, runs them against a local SQLite database, and summarizes the results for

Model price changes detected for SambaNova. Details below.

A beginner-friendly guide to understanding Claude Sonnet 5, its real-world applications, and how it is changing the way people work with… Continue reading on Me

Breaking Free From AI Vendor Lock-In: A Developer's Notes I've been writing code for about twelve years now, and if there's one thing that grinds my gears more

How LLMs Are Quietly Transforming Everyday Business Workflows Continue reading on Medium »

Eighteen days ago I wrote about the night the smartest AI on Earth went dark in the middle of my sentence. It was 2:51 in the morning in India, 5:21 PM in New Y

Unlocking ChatGPT's Full Potential: Prompt Engineering for Freelancers As a freelancer, staying ahead of the curve is crucial for success. One technology that h

Huawei made a bold move on June 30, 2026, officially open-sourcing openPangu-2.0-Flash — a 92-billion-parameter Mixture-of-Experts model with only 6 billion act

The 1BZ Ecosystem CopyGuard (protect) → IPVault (monetize) → SmartPDF (deliver) → DZIT (settle on Polygon) → BizNode (automate) AI business operator node — http

Although model capabilities have advanced significantly, one of the greatest challenges users still encounter is the input barrier… Continue reading on Medium »

Fable was swapped Claude Fable 5 was tested again in BridgeBench after its return. The results dropped sharply. Debugging: 86.2 → 25.9 Refactoring: 73.6 → 38.4

Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. Star git-lrc to help

Hello, I'm Shrijith Venkatramana. I'm building git-lrc, an AI code reviewer that runs on every commit. Star Us to help devs discover the project. Do give it a t

I spent months writing massive prompts for AI. Then one simple change gave me better answers in less time. Continue reading on Medium »

<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

TL;DR OpenAI previewed GPT-5.6 on June 26, 2026 as a three-tier family , Sol (flagship), Terra (mid), Luna (budget) , named for Sun, Earth, Moon, with the numbe

If you build on hosted LLM APIs, model retirements are the quiet breakage: a model ID keeps working right up until the day it returns a 404, and the deprecation

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

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

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

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

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

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

I wish someone had handed me this list in my first year. Here it is for yours. Continue reading on Medium »

We’ve spent the past two years optimizing prompts, fine-tuning models, building RAG pipelines, and designing AI agents. The next… Continue reading on Medium »

The idea of token limits explained — and what you can actually do about it. Continue reading on Medium »

When an AI Starts Talking to Itself: The Birth of Self-Awareness The Moment Everything Changed I built an AI assistant. It answered questions, managed my calend