The year 2025 brings powerful open‑source LLMs like Olmo 3, GLM 4.6, and GPT‑5.1 Codex‑Max. This guide explains their strengths, how to use them, and the tools that make AI development accessible.
Synthetic data reinforcement learning lets AI models generate, edit, and learn from their own data, boosting accuracy while cutting training costs. Learn how it works, its benefits, and how developers can start using this new technique.
Open‑source LLMs 2025 are reshaping AI development. This guide explores key models, practical use cases, and how Neura tools can help you build faster, cheaper, and more privately.
OpenAI’s new GPT‑oss‑120b and GPT‑oss‑20b models bring GPT‑4‑level performance to open‑source LLMs. Learn how to set them up, fine‑tune, and apply them in real‑world projects.
AI coding assistants are reshaping programming by automating coding, testing, and deployment.
AI agent automation is reshaping browser workflows. This guide explains how tools like DeepAgent, Agent 365, and Antigravity use models such as Gemini 3 Pro to automate tasks, with step‑by‑step instructions for developers and teams.
Browser AI automation lets machines perform tasks inside your web browser, freeing you to focus on higher‑level work. This article explores DeepAgent, Microsoft’s Agent 365, their technical foundations, real‑world use cases, and how to start using them.
Browser based AI agents bring AI directly into your web pages, automating shopping, security, and workflow tasks—all while you stay in the same tab.
This article explores the newest browser‑based AI agents, showing how tools like DeepAgent, 1min.AI, and OpenAI Atlas can automate repetitive web tasks, save time, and improve productivity.
In 2025, AI workflow automation platforms like n8n and Lindy are transforming how developers build and deploy AI solutions. This article covers new features, practical tips, and future trends.