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•3 min

Mitigating Language Model Hallucinations Through Strict Semantic Validation and Vector Database Grounding

Learn how to combine vector databases and strict semantic validation to prevent artificial intelligence from inventing facts, ensuring reliable responses based on real data.

IADevOps•3 min

Local Inference Implementation of Language Models Using ONNX Runtime and GPU Acceleration on Edge Servers

Learn how to architect and deploy language models on edge servers using ONNX Runtime and GPU acceleration, ensuring low latency and offline operation.

BackendIA•5 min

Failure Recovery in AI Ingestion Pipelines with Dead-Letter Queues

Learn how to build resilient data flows for artificial intelligence using dead-letter queues and deterministic replay to prevent data loss and hallucinations in production systems.

IAEngenharia•4 min

Mitigating Bias and Data Drift in Large Language Models in Production

Learn how to safeguard enterprise artificial intelligence models against biased responses and the gradual loss of accuracy when the real world changes. This article details practical engineering strategies, monitoring architectures, and continuous validation in large-scale environments.

IAHardware•3 min

Post-Training Quantization of Language Models for Edge Devices

Learn how to compress heavy language models to run locally on mobile devices and local hardware without losing analytical accuracy.

IABackend•4 min

Hallucination Mitigation in Generative Models with Knowledge Graph Augmented Retrieval

Learn how combining the flexibility of large language models with the structured precision of knowledge graphs eliminates hallucinations and ensures reliable outputs.

IAEngenharia•4 min

Weight Alignment and Memory Allocation in Large Language Model Inference

Explore how weight alignment and efficient RAM and VRAM memory management shape performance when running large language models. Understand practical engineering trade-offs.

IABackend•5 min

Vector Query Optimization in Relational Databases with IVFFlat and HNSW

Learn how to build and accelerate vector similarity searches in relational databases using IVFFlat and HNSW indexing for high performance.

IAArquitetura•4 min

Hallucination Mitigation in Language Models with Sparse and Dense Vector Retrieval

Learn how combining sparse and dense searches in Retrieval-Augmented Generation architectures eliminates hallucinations in generative artificial intelligence.

IABackend•5 min

Tensor Allocation Optimization and Memory Leak Reduction in Local Inference Runtimes

Learn how to structure local inference runtimes to prevent out-of-memory crashes and GPU spikes. Explore buffer management strategies and tensor reuse for high performance.