Technical Articles

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

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IABackend•3 min

Language Model Inference Optimization with Dynamic Kernel Compilation

Learn how dynamic kernel compilation accelerates large language models execution by eliminating hardware bottlenecks and reducing production latency.

IABackend•4 min

Knowledge Graph Query Optimization with Hybrid Vector Indices

Learn how to combine relational and graph databases with semantic vectors for fast and accurate queries, bridging the gap between structured logic and modern artificial intelligence.

IAHardware•4 min

Neural Network Quantization and Ahead-Of-Time Compilation for Energy-Constrained Edge Devices

Learn how to optimize neural networks using weight quantization and ahead-of-time compilation to run efficient artificial intelligence on power-constrained hardware.

IABackend•4 min

Language Model Alignment with Reinforcement Learning and Human Feedback in Production

Explore the practical challenges of implementing RLHF in production AI systems, aligning language models with real human expectations.

IAProdutividade•5 min

Cognitive Load Mapping and Bottlenecks in Artificial Intelligence Adoption

Learn how to measure and reduce mental fatigue in distributed teams when introducing artificial intelligence tools into daily workflows.

IAArquitetura•4 min

Distributed Language Model Inference Orchestration with Layer Splitting on Heterogeneous GPUs

Learn how to split large language models across graphics cards of different brands and capacities to run local artificial intelligence efficiently.

IAArquitetura•4 min

Mitigating Hallucinations in Generative Models with Vector Databases and Cross-Validation

Learn how to combine vector databases and cross-validation to dramatically reduce hallucinations in generative artificial intelligence, ensuring accurate and reliable enterprise responses.

IABackend•5 min

Implementing RAG with Hybrid Retrieval and Semantic Reranking

Learn how to build information retrieval architectures by combining dense vector search with keyword matching and semantic reranking for maximum accuracy in artificial intelligence.

RedesIA•5 min

Anomaly Detection in Enterprise Networks Using Unsupervised Learning on NetFlow

Learn how to apply unsupervised machine learning to NetFlow data streams to identify silent threats, malicious traffic, and operational failures without rigid manual rules.

IADevOps•4 min

Implementation of Autonomous AI Agents for Proactive Infrastructure Incident Resolution

Learn how to architect autonomous artificial intelligence agents capable of monitoring, diagnosing, and fixing server and network failures in real-time without direct human intervention.