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Tag: llm

All the articles with the tag "llm".

Used GPU Buying Guide for Home Lab LLMs

Used GPU Buying Guide for Home Lab LLMs

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Your no-BS guide to buying a used GPU for local LLM inference in 2026. Budget tiers from $300 to $5,000 plus, real VRAM math, and tips to dodge the scams.

Claude Code in a Homelab Workflow

Claude Code in a Homelab Workflow

Claude Code puts an agentic AI assistant in your terminal for real homelab work, compose files, bash, Ansible, systemd. The honest take on cost and data.

Self-Host a Local AI Coding Workhorse

Self-Host a Local AI Coding Workhorse

Self-host Gemma 4 or Qwen3-Coder via Ollama or llama.cpp in Docker, then let Claude delegate the grunt work to it. Free tokens, zero code leakage.

Give Your AI Agent a Cheap Intern

Give Your AI Agent a Cheap Intern

Stop burning expensive AI tokens on boring grunt work. The overseer/workhorse pattern routes mechanical tasks to a cheap model and saves more than you'd think.

Dify: Visual Agent Workflows

Dify: Visual Agent Workflows

Dify is an open-source LLM-app builder you can self-host. Visual workflow editor, RAG, agents, tool use, without writing 500 lines of LangChain glue.

OpenRouter vs LiteLLM

OpenRouter vs LiteLLM

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OpenRouter is a hosted gateway, LiteLLM a self-hosted proxy, and Stripe now owns one of them. Which one belongs in your home lab as of August 2026?

Function Calling in Local LLMs

Function Calling in Local LLMs

Local LLMs can call tools, query APIs, and run code if you set them up right. Function calling on Ollama and llama.cpp explained, patterns that actually work.

Gemma 4 vs Qwen3.6

Gemma 4 vs Qwen3.6

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Gemma 4 vs Qwen3.6: sizes, reasoning, coding benchmarks, and which model you should actually pull for your home lab rig.

AnythingLLM as Knowledge Base

AnythingLLM as Knowledge Base

AnythingLLM is the closest thing to a real private NotebookLM you can self-host. Workspaces, RAG, agents, document chat, running locally on Ollama in 20 minutes.

Local Vision LLMs Worth Running in 2026

Local Vision LLMs Worth Running in 2026

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Pixtral, Qwen3-VL, and Gemma 4 compared for local multimodal use in 2026. LLaVA is dead; here's what to run in Ollama for OCR, screenshots, and vision tasks.

MCP Servers: Tools for LLMs

MCP Servers: Tools for LLMs

Model Context Protocol turns your LLM into a tool-using agent, file access, APIs, your home lab. Build your first MCP server in under 50 lines of Python.