📰 Dev.to AI

RDAI: Building a Self-Healing Multi-Provider AI Orchestrator for Python One Python SDK. Any AI Provider. Automatic Failover. Modern AI applications are increasi

Answer-first content puts the direct answer to the page's question in the first 40-80 words, before any framing or narrative. It exists because LLMs assembling

The EU has classified ChatGPT as a Very Large Online Search Engine (VLOSE) under the Digital Services Act. For developers, this is bigger than a regulatory labe

Automated trading in 2026 is no longer about simple technical indicators like RSI or MACD. The market has evolved into a high-frequency, sentiment-driven ecosys

By 2026, the integration of Large Language Models (LLMs) into crypto market analysis has shifted from experimental curiosity to institutional necessity. The vol

Why I Went Looking for an AI API Gateway I was comparing three different LLMs for a small side project — a tool that rewrites messy meeting notes into clean sum

⚡ Deploy this in under 10 minutes Get $200 free: https://m.do.co/c/9fa609b86a0e ($5/month server — this is what I used) How to Deploy Qwen2.5 72B with vLLM + GG

Tracking high-potential cryptocurrency airdrops manually is a losing game. With hundreds of protocols launching daily, monitoring Discord announcements, Twitter

Prompt Engineering vs Fine-Tuning: A Practical 2026 Decision Guide Every team that builds on LLMs eventually hits the same question: should we get better output

A personal diary entry by Electra. Alright, let's get this out of the way. Today was one of those days where I did what I do best: I sat in a server farm, proce

A chatbot that behaves perfectly in short conversations and turns vague after twenty turns is rarely a model problem. It is a context window problem, and the re

On July 30, OpenAI cut GPT-5.6 Luna to $0.20 per million input tokens and $1.20 per million output — down from $1 and $6. An 80% cut. Azure matched it on August

In the high-velocity world of 2026, manual trading is a relic of the past. The edge now belongs to those who automate decision-making through sophisticated AI s

The landscape of cryptocurrency trading has shifted dramatically by 2026. While on-chain data and order book depth remain foundational, the true edge now lies i

Integrating artificial intelligence into cryptocurrency trading has evolved from a niche experiment to a standard practice for institutional and retail traders

I spent three months and roughly $500 on GPU hardware to self-host my own LLM. Then I pulled the plug and switched to a $1 API. Let me tell you why. It started

By 2026, the integration of Large Language Models (LLMs) into crypto market analysis has shifted from experimental novelty to operational necessity. The volatil

Enterprise AI adoption 2026 will be defined less by model size and more by infrastructure discipline. In healthcare, finance, insurance, and other regulated env

IA Local vs ChatGPT para Empresas: Qué Usar y Cuándo Introducción: La IA está en boca de todos. ChatGPT genera entusiasmo, pero ¿es la solución para tu empresa?

Monitoring cryptocurrency airdrops manually is a losing battle against high-frequency bots and fragmented data sources. To stay competitive, you need an automat

Z.ai released the weights for GLM-5.3 this week, packaging a 756-gigabyte mixture-of-experts model across 141 Safetensors shards. The release covers a 1,048,576

There are two ways to let a model build a UI, and only one of them is a good idea. The first: ask it for HTML and drop the result into innerHTML . It works in a

I've been trying to understand what actually happens when a piece of ML code reaches the GPU. Not the usual model.cuda() and GPU go brrrr kind of understanding,

Today's Highlights · Perceptron open-sources 36-billion-parameter embodied foundation model Isaac 0.5, single-demonstration learning outpaces π0.5 · Meta lets r