How do we safely let an AI agent handle real web tasks like booking, searching, and form filling directly on our own devices without sending everything to the cloud? Microsoft Research has released ...

How can an AI system learn to pick the right model or tool for each step of a task instead of always relying on ...

Postman recently released a comprehensive checklist and developer guide for building AI-ready APIs, highlighting a simple truth: even the most powerful AI models are only as good as the data they ...

OpenAI has released GPT-5.1 as the next iteration in the GPT-5 family, with 2 core variants, GPT-5.1 Instant and GPT-5.1 Thinking. The update focuses on 3 axes, adaptive reasoning behavior, clearer ...

How can developers reliably generate, control, and inspect large volumes of realistic dialogue data without building a custom simulation stack every time? Meet SDialog, an open sourced Python toolkit ...

Agents that use the Model Context Protocol MCP have a scaling problem. Every tool definition and every intermediate result is pushed through the context window, which means large workflows burn tokens ...

In this tutorial, we build our own custom GPT-style chat system from scratch using a local Hugging Face model. We start by loading a lightweight instruction-tuned model that understands conversational ...

How do you design a single model that can listen, see, read and respond in real time across text, image, video and audio without losing the efficiency? Meituan’s LongCat team has released LongCat ...

Maya Research has released Maya1, a 3B parameter text to speech model that turns text plus a short description into controllable, expressive speech while running in real time on a single GPU. Maya1 ...

ARM uses next token prediction in a strict left to right order. Prior work already shows that with enough intermediate steps, ARM is Turing complete, so it can represent any computable function in ...