1M context AI models
A practical guide to using 1M context AI models for long running agents and deep document work. Includes patterns, architecture, and a step by step build plan.
A practical guide to using 1M context AI models for long running agents and deep document work. Includes patterns, architecture, and a step by step build plan.
A clear, simple guide to Mixture of Experts models, including how they work, training tips, and deployment advice for teams.
Self‑adapting LLMs are a new wave of AI that can double‑check their own answers before sending them out. This article explains how they work, why they matter, and how developers can use them.
Falcon‑H1R 7B is a new hybrid AI model that blends Transformer and Mamba. It offers fast, accurate performance for writing, coding, and customer support.
DeepSeek MODEL1 is a new large‑language‑model architecture that reduces GPU memory usage by 30 % and speeds up inference. It uses a new KV cache layout, sparsity handling, and FP8 decoding.
DeepSeek’s new V3.2 model and Speciale variant deliver clear, step‑by‑step AI reasoning. They’re smaller, cheaper, and outperform GPT‑4 on reasoning tasks.
GLM‑4.7 is the newest open‑source language model that scores 87.4 on the τ²‑Bench. It offers long‑running task support, stable tool calling, and a new architecture that keeps context intact. Learn how to use it for chatbots, data pipelines, and more.
Deepseek R1 is a powerful open‑source Chinese large language model. This guide covers its features, comparison with other models, and a step‑by‑step setup.
Deepseek R1 is a powerful open‑source Chinese language model that offers strong performance and flexibility. This article covers its specs, benchmarks, use cases, and how to integrate it with Neura AI.
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.