Antigravity AI brings a multi‑agent IDE to the browser, enabling instant code generation, testing, and documentation—all while addressing early security concerns.
Mixtral 8x22B is Mistral’s latest open‑source language model. With 176 B parameters, a 16 k token limit, and an Apache 2.0 license, it offers competitive performance for code generation and AI assistants.
Open‑source LLMs 2025 have brought powerful, affordable models into the hands of developers. From Claude Opus 45 to GPT‑5, these new releases improve reasoning, safety, and deployment flexibility.
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.