Technical Articles

Practical articles, in-depth tutorials, and architectural insights on software engineering, AI, and systems.

All categories Arquitetura Automação Backend Carreira DevOps Eletrônica Engenharia Frontend Hardware IA Negócios Produtividade Redes

IAEngenharia•3 min

Dynamic Weight Quantization Optimization in Language Models for GPU Memory Footprint Reduction

Learn how dynamic quantization reduces video memory consumption when running massive artificial intelligences without sacrificing calculation accuracy.

IAArquitetura•4 min

Implementation of Distributed Language Model Inference with Dynamic Layer Splitting in Heterogeneous Clusters

Learn how to run giant language models by dynamically splitting their layers across different computers with varying power, ensuring high speed without spending a fortune on new hardware.

IADevOps•4 min

Latency Mitigation Strategies for Large Language Models on Local Servers

Explore practical engineering strategies to reduce response delays when running artificial intelligence models on local servers through hardware tuning and quantization.

IAEngenharia•4 min

Hallucination Mitigation in Language Models Through Retrieval-Augmented Generation and Knowledge Graph Cross-Verification

Learn how to combine Retrieval-Augmented Generation with Knowledge Graphs to eliminate hallucinations in language models. A practical engineering approach for reliable AI systems.

IABackend•4 min

Memory Allocation Optimization in Large Language Models with Floating Point Quantization on Inference Servers

Learn how floating-point quantization and efficient memory management reduce operational costs and accelerate language model response times on production servers.

DevOpsIA•4 min

Predictive Resource Saturation Monitoring in Kubernetes Clusters Using Machine Learning

Learn how to anticipate bottlenecks and prevent downtime in Kubernetes environments using predictive machine learning models to analyze CPU and memory metrics before system failure.

IAArquitetura•5 min

Distributed Model Inference via Layer Splitting in Local Clusters

Learn how to slice heavy neural networks across multiple local computers using layer splitting, enabling massive models on modest hardware without expensive cloud dependencies.

IAArquitetura•2 min

Standardizing Technical Architecture Documentation with Local Language Models and RAG

Learn how to structure and automate software architecture documentation standardization by combining local artificial intelligence and internal vector-based knowledge bases.

IADevOps•2 min

Automating Infrastructure as Code Incident Remediation with Local AI Agents

Learn how to integrate local AI agents with Infrastructure as Code to automatically detect, analyze, and fix operational failures without leaking data to the cloud.

IAHardware•4 min

Language Model Inference Implementation at the Edge with Neural Offloading

Learn how to run large language models directly on edge devices using offloading techniques to dedicated neural accelerators, ensuring low latency and data privacy.