The Ultimate Guide to System Prompts for Local LLMs

Comparison table highlighting the key differences in prompt engineering between cloud-based LLM endpoints and local open-weights LLMs.

The Ultimate Guide to System Prompts for Local LLMs As developers and privacy-focused technology teams move away from third-party APIs toward open-source models like Llama 3, Mistral, and Gemma, crafting an effective system prompt local llm configuration has become a critical engineering skill. While commercial AI platforms rely on massive scale and heavy RLHF (Reinforcement … Read more

How to Fix a Local LLM That Isn’t Following Instructions

Diagram showing how aggressive quantization in small LLMs can degrade fine-grained instruction adherence and logical reasoning by making subtle weight activations noisy.

How to Fix a Local LLM That Isn’t Following Instructions Running large language models (LLMs) on local hardware provides unparalleled privacy, zero API costs, and total control over your AI stack. However, many developers and AI enthusiasts quickly encounter a frustrating roadblock: a local LLM not following instructions consistently. You might prompt your model to … Read more