Llm | martinuke0's Blog

A microcontroller board beside a tiny neural network diagram.

Optimizing Small Language Models for Local Edge Inference: Techniques, Constraints, and Production Deployment Patterns

Learn practical techniques to squeeze LLMs onto edge hardware, manage resource limits, and apply proven deployment patterns.

Diagram of a multimodal RAG pipeline linking image encoder, vector store, and LLM.

Architecting Multimodal RAG Pipelines: Integrating Vision-Language Models for Production-Ready Applications

A deep dive into building production‑grade multimodal RAG systems, covering architecture, data flow, scaling, and monitoring with real‑world examples.

Illustration of a Rust crate connecting to several LLM provider APIs.

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

A step‑by‑step guide to designing a Rust inference engine, exposing it to multiple languages, and wiring it into a fault‑tolerant, observable production workflow.

Illustration of Rust and multiple LLM provider logos connected by code.

Implementing Liter-LLM: Architecting Rust-Powered Polyglot Bindings for Multi-Provider LLM Integration at Scale

Explore the Rust‑centric architecture, FFI patterns, and scaling tricks that let you serve multiple LLM providers from a single, high‑performance service.

Illustration of Rust code weaving together multiple LLM provider icons.

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

A deep dive into the design, Rust implementation, and deployment patterns that enable multi‑provider LLM integration at enterprise scale.