Llm | martinuke0's Blog

Diagram of a retrieval‑augmented generation pipeline with vector store and LLM.

Architecting Production-Ready Retrieval-Augmented Generation: Patterns, Scalability, and Enterprise Infrastructure Services

A deep dive into designing, scaling, and operating Retrieval‑Augmented Generation pipelines in the enterprise, with concrete patterns and service choices.

Illustration of Rust gear meshing with LLM provider icons.

Implementing Liter-LLM: Architecting Rust-Powered Polyglot Bindings for Multi-Provider LLM Integration and Production Pipelines

A deep dive into Liter-LLM’s Rust architecture, polyglot bindings, and production‑ready patterns for integrating OpenAI, Anthropic, and Azure OpenAI.

A compact neural network diagram overlayed on a tiny edge device.

Optimizing Small Language Models: Pruning, Quantization, and Techniques for Local Edge Inference

A practical guide for engineers who need to run LLMs on edge hardware, covering pruning, quantization, and architecture patterns that keep latency low and memory tight.

Illustration of a tiny neural network being compressed for a microcontroller.

Optimizing Small Language Models: Pruning, Quantization, and Deployment for Local Edge Inference

A deep dive into pruning, quantization, and production‑ready deployment of compact LLMs on edge hardware, with code snippets and best‑practice patterns.

Diagram of Rust core communicating with multiple LLM provider APIs.

Implementing Lite-LLM: Architecting Rust-Powered Polyglot Bindings for Multi-Provider LLM Integration and Deployment

A step‑by‑step guide to designing a Rust core that exposes idiomatic bindings for Python, Node.js, and Go, enabling seamless multi‑provider LLM orchestration in production.