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

IABackend•4 min

Implementation of Autonomous Agents Based on Vector RAG for Technical Knowledge Retrieval

Learn how to build autonomous agents integrated with vector knowledge bases to automate search and technical support with surgical precision.

IABackend•4 min

Building Natural Language Processing Pipelines with Hybrid Rule-Based Models and LLMs

Learn how to architect Natural Language Processing pipelines by combining the deterministic precision of rule engines with the creative flexibility of Large Language Models for maximum efficiency and lower cost.

IAEngenharia•4 min

Efficient Language Model Fine-Tuning with QLoRA on Resource-Constrained Hardware

Learn how to adapt large language models using QLoRA, a technique that drastically reduces video memory consumption without sacrificing learning accuracy.

IAArquitetura•3 min

Context Allocation Optimization in Multi-Agent Systems with Language Models

Discover practical strategies to manage memory space and data flow in decentralized artificial intelligence networks, preventing information loss and high costs.

IAHardware•4 min

Language Model Inference Optimization on Edge NPU Accelerated Hardware

Learn how to run generative artificial intelligence directly on local devices using dedicated neural processing units, reducing latency and ensuring complete data privacy without relying on cloud servers.

HardwareIA•4 min

Active Thermal Management in Dedicated AI Home Servers

Learn how to design an active and efficient cooling system for home servers running local artificial intelligence workloads without performance throttling.

DevOpsIA•4 min

Anomaly Detection in Ephemeral Infrastructures Using Time Series and Machine Learning

Learn how to monitor short-lived computing environments using machine learning and time series analysis to identify failures before they impact end users.

IAEngenharia•4 min

Quantifying Algorithmic Bias in Deep Neural Network Recommendation Systems

Learn how to measure and mitigate discriminatory distortions in deep learning recommendation algorithms, ensuring fairness and diversity at scale.

IAEngenharia•3 min

Distributed Language Model Training with Pipeline Parallelism and Zero Redundancy Optimizer

Learn how distributed training of large language models leverages pipeline parallelism and the Zero Redundancy Optimizer to overcome hardware memory and compute bottlenecks.

IABackend•4 min

High-Scale Vector Query Optimization Using HNSW Indexes in Distributed Search Engines

Learn how to architect and optimize large-scale vector searches using HNSW graphs in distributed systems, balancing latency, memory footprint, and retrieval accuracy for complex data.