Qwen3.6-27B Deep Dive: Why This Mid-Size Dense Model Works So Well
A technical deep dive into Qwen3.6-27B: its hybrid architecture, long-context design, thinking preservation, and why 27B parameters can still perform at a flagship level.
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LLM
The LLM Efficiency Revolution: How 8B Models Now Outperform 70B Giants
Explore the paradigm shift in LLM development: from brute-force scaling to scientific efficiency. Discover the six key methodologies enabling smaller models to outperform their massive predecessors.
Running vLLM with Qwen3.5-35B GPTQ on 4× Nvidia T4 GPUs
Comprehensive guide to running Qwen3.5-35B GPTQ Int4 on 4× Nvidia T4 16GB GPUs using vLLM with tensor parallelism. Includes architecture, configuration, performance analysis, and troubleshooting.
What Is Agentic AI? From Chatbots to Autonomous Scientific Agents
Agentic AI is not just LLMs answering questions — it's AI systems that autonomously plan, reason, use tools, and execute multi-step scientific workflows. This post defines the paradigm and surveys its emergence in …
Giving it a Brain: Connecting Gemini & OpenAI
Yesterday, we installed OpenClaw on the Raspberry Pi. It was alive, but silent. Today, we give it a voice—and a brain. A true agent isn’t just a script; it needs a Large Language Model (LLM) to reason, understand …
