10 posts about local LLM by 7 contributors.
Know local LLM? Share what you know with developers who are learning it.
Learn how to run a GGUF language model locally on Windows with llama.cpp and call its OpenAI-style HTTP API from a C# application.
Benchmark local LLM inference on Windows using quantized models and compare CPU, GPU, and NPU performance, memory usage, latency, throughput, and model efficiency.
Measure local AI inference performance across CPU, GPU, and NPU hardware to compare latency, throughput, power efficiency, and hardware acceleration capabilities.
Build an AI coding assistant with ASP.NET Core and local LLMs for enhanced privacy, security, and cost control in your development workflow.
Unlock local LLM inference in .NET with ONNX Runtime for faster, private, and cost-effective AI applications. Learn integration & best practices.
Run LLMs locally with Ollama! This guide simplifies installation, model usage, and integration for private, cost-effective AI development. Build chatbots and more!
Build an AI chatbot with memory using LangChain, local LLMs, and databases. Create personalized, private, and cost-effective AI solutions locally. Learn how!
Build fully local LLM applications with Ollama and LangChain! This guide covers setup, text generation, chat models, agents, and model customization for private, cost-free AI.
Explore Lemonade SDK — an open-source, developer-first local LLM server. Learn its architecture, compare Lemonade vs Ollama, LM Studio, and LocalAI, and discover how to deploy and optimize local AI inference
This article provides a complete walkthrough of using Ollama to run LLMs like LLaMA and Mistral on your machine. Learn to generate text, create embeddings, manage models, and build private AI applications without cloud dependencies. Explore key endpoints like /api/generate, /api/embeddings, and more for total control.
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