Technical Articles

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

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IABackend•5 min

Language Model Fine-Tuning for Code Refactoring in Highly Specific Codebases

Learn how to adapt artificial intelligence to rewrite complex, specialized codebases while preserving business logic and reducing technical debt.

IAHardware•4 min

Quantization and Optimization of Computer Vision Models for Edge Embedded Devices

Learn how to compress heavy computer vision neural networks to run with high speed and low power consumption on edge hardware like Raspberry Pi and Jetson.

IAEngenharia•5 min

Fine-Tuning Small Scale Language Models for Specific Code Generation Tasks in Offline Environments

Learn how to adapt compact Artificial Intelligence models to write programming code directly on local servers without internet access.

IADevOps•4 min

Building Predictive Alerting Systems with Autonomous AI Agents for Cloud Infrastructure Monitoring

Learn how to design predictive alerting architectures in cloud environments using autonomous artificial intelligence agents to anticipate failures before they affect end users.

IAEngenharia•4 min

Efficient Fine-Tuning of Medium Language Models Using LoRA Adapters and Low VRAM

Learn how to adapt medium-sized language models using the LoRA technique to reduce video memory consumption without losing predictive capacity.

IABackend•4 min

Attention Vector Optimization in Transformers for Computational Cost Reduction During Inference

Learn how language model engineering handles the heavy computational cost of generating responses. We explore practical strategies to optimize attention vectors without sacrificing quality.

IAArquitetura•5 min

Implementation of Distributed Language Model Inference with Layer Splitting on Heterogeneous GPUs

Learn how to split massive artificial intelligence models to run cooperatively across different graphics cards of varying capacities, optimizing costs and overcoming VRAM memory limits.

IABackend•4 min

Orchestrating Multiple Autonomous Agents with LLMs: Routing, Context and Tools

Learn how to build multi-agent artificial intelligence architectures in production environments. We cover dynamic routing strategies, shared context, and secure tool execution.

IAArquitetura•4 min

Hallucination Mitigation in Language Models via Knowledge Graph External Retrieval

Learn how connecting artificial intelligence models to structured knowledge graphs eliminates fabricated answers and ensures factual precision in corporate environments.

IAHardware•4 min

Large Language Model Quantization for Resource-Constrained Edge Devices

Learn how quantization techniques transform massive artificial intelligence models into lightweight software capable of running locally on smartphones, routers, and constrained hardware without losing critical accuracy.