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Technical Articles

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

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IABackend•4 min

Evaluation and Mitigation of Hallucination Risks in Retrieval-Augmented Generation Pipelines Using Critique Models

Learn how to combat hallucinations in Artificial Intelligence systems that query external databases, using critique models to validate the fidelity and truthfulness of generated answers in real time.

IAArquitetura•4 min

Dynamic LLM Traffic Routing with Cost and Latency Smart Proxies

Learn how to implement an intelligent artificial intelligence model router to optimize costs and reduce request latency in real time.

IAArquitetura•3 min

Multi-Agent Workflow Orchestration with Trust Scores and Cross-Validation

Learn how to build intelligent systems where multiple artificial intelligence agents cooperate, cross-check each other's work, and eliminate hallucinations using trust protocols.

IABackend•5 min

Implementation of Hybrid Retrieval-Augmented Generation with Vector Search and BM25 Under High Concurrency

Learn how to design information retrieval architectures combining AI and traditional keyword search to handle thousands of simultaneous requests with low latency and high precision.

IAEngenharia•5 min

Post-Training Quantization of Language Models with AWQ and GPTQ

Learn how to compress massive artificial intelligence models without losing intelligence, using modern AWQ and GPTQ quantization techniques to reduce memory footprint in practice.

IAArquitetura•4 min

Optimization of Function Calling AI Agents for Hallucination Reduction

Learn how to build robust workflows using function calling in language models to eliminate fabricated responses and ensure reliable data in production.

IABackend•3 min

Fine-Tuning Language Models for Code Translation Across Paradigms

Learn how to adapt artificial intelligence to translate code between distinct programming paradigms, overcoming structural and syntactic barriers.

IAEngenharia•4 min

Inference Batching and Vectorization Optimization in Language Models with TensorRT-LLM

Learn how to maximize GPU throughput and drastically reduce AI inference latency by combining dynamic batching and TensorRT-LLM in real-world scenarios.

IABackend•5 min

Fine-Tuning Language Models for Secure Code Generation and Compile-Time Vulnerability Detection

Learn how to adapt specialized artificial intelligence systems to write fault-tolerant programs and block critical vulnerabilities before software even runs.

IAAutomação•4 min

Stable Diffusion Model Fine-Tuning for Automated Visual Assets in Design Pipelines

Learn how to integrate generative AI fine-tuning into automated visual creation workflows, cutting costs and preserving brand identity at scale.