Insights about online education, learning technology, and platform updates from our team.
Docker, WebAssembly, Firecracker, and E2B. How to execute code your LLM generated without burning down your infrastructure.
Real examples of how attackers hijack LLMs through prompt injection. Direct attacks, indirect injection, system prompt leaks, and defense strategies.
Why TinyLlama, Phi, and Mistral 7B beat huge models for 95% of real-world tasks. The efficiency revolution is here.
Practical guide to running production-ready LLMs locally using Ollama, llama.cpp, and quantization. No GPU cluster required.