1384 related articles
Using LLMs to Master MikroTik Network …
Explore how LLMs can streamline MikroTik RouterOS configuration — from natural language command generation to AI-assisted troubleshooting and security auditing.

Complete guide to running local LLMs on a laptop with 8GB VRAM: real usable memory, quantization estimation, Q4 7B/8B model recommendations, Ollama setup, GPU offloading, and agent development tips.

A comprehensive decision framework for production LLM deployment: model selection (open-source vs. API), GPU VRAM configuration, and inference engine comparison including vLLM and TensorRT-LLM.

Learn how to connect Claude Code to local LLMs for token-free AI coding. Covers three-layer architecture, Ollama/LM Studio/vLLM setup, protocol translation, and hardware selection.

Step-by-step guide to configuring CreateNow agents with DeepSeek, Kimi, and Xiaomi LLMs. Covers one-click setup, custom model integration, and API Key acquisition for building AI digital employees.

Complete guide to installing Claude Code, connecting Chinese LLMs like DeepSeek, and practical usage tips. Covers three usage modes, hands-on examples, and advanced techniques.

Learn how to use CC Switch to connect Claude Code with Chinese LLMs like DeepSeek, Xiaomi Mimo, and MiniMax. Covers API Key setup, Base URL config, model mapping, and error troubleshooting.
TutorialsComplete guide to AnythingLLM local knowledge base setup: installation tips, Ollama model configuration, document vectorization, recall optimization, and API integration.

Open-source LLM weights don't equal low-cost access for developers. This article analyzes the inference service gap in open-source AI and how providers like Together AI and Groq are addressing it.

Deep technical breakdown of an AI Agent-driven intrusion at a frontier AI lab, covering the full attack timeline from reconnaissance to data exfiltration, plus defense strategies.

Deep technical breakdown of an AI Agent-driven frontier lab intrusion, covering the full timeline from reconnaissance to data exfiltration, with analysis of growing offense-defense asymmetry.

Deep analysis of Anthropic's cryptanalysis research, examining LLM capabilities in code-breaking tasks, dual implications for AI safety, and methodological value as a reasoning ability benchmark.

Analysis of whether spending 20% more on hardware for self-hosting Kimi K3 to gain 20% task performance improvement is worthwhile, covering inference precision, VRAM optimization, and tiered deployment.

Deep analysis of Hugging Face's frontier lab AI agent intrusion report, covering indirect prompt injection, lateral movement, data exfiltration, and defense-in-depth strategies for AI agent security.

Guide to running Claude Code via Ollama locally: troubleshooting API errors, output token limits, model freezes, with model selection, parameter tuning, and alternative tool recommendations.

A Reddit user's hands-on comparison of Claude Opus 5 vs Gemini 3.1 Pro reveals that response speed and interaction fluidity may matter more than raw intelligence in choosing an LLM.

Local LLM crashing in Agent frameworks? The issue may be num_gpu set too high. Learn what num_gpu really controls (GPU layer offloading, not GPU count) and how to tune it for stable Agent performance.

Reddit debates whether Claude Opus 5 can independently refactor a 25-year, 50K-line undocumented legacy codebase. Analyzing AI programming's real capability boundaries and human-AI collaboration.

Analysis of Ollama silently overriding custom TEMPLATE with GGUF-embedded templates after import. Learn to verify active templates via /api/show to prevent evaluation failures.

Complete guide to deploying production-grade LLM inference on Kubernetes, covering GPU scheduling, vLLM engine selection, autoscaling, observability, and cost optimization.