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My articles on AI, DATA & all related subjects

Explore the tech universe through specialized articles on AI, Data Engineering, Programming, and System Design.

One mission: to share in-depth knowledge and productivity hacks to help you excel in your technological journey to become the ultimate AI Engineer.

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AI Engineering
Controlling AI Text Generation: Understanding Parameters That Shape Output

Controlling AI Text Generation: Understanding Parameters That Shape Output

Control LLM probability distributions using temperature to modify softmax, top-k/top-p sampling methods, and frequency penalties for precise text generation.

AI Engineering
AI Engineering
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6
min
ROADMAP to become the ultimate AI Engineer

ROADMAP to become the ultimate AI Engineer

The AI field is booming, but most roadmaps focus on theory over practice. This comprehensive guide provides a practical pathway for software engineers to become AI engineers in 2025 without needing deep ML expertise. Unlike traditional ML roles, AI engineering focuses on building functional AI systems with existing LLMs rather than training models from scratch. You'll learn core skills like prompt engineering, RAG systems, agentic workflows, and evaluation techniques, plus advanced topics like fine-tuning and self-hosting. The roadmap progresses from foundation prerequisites through specialization areas including knowledge management systems, multi-agent architectures, and monitoring techniques. Perfect for developers ready to build AI systems that solve real-world problems.

AI Engineering
AI Engineering
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12
min
VLM vs OCR Benchmark Part 2: Self-Hosted Quantized Models - The Reality Check

VLM vs OCR Benchmark Part 2: Self-Hosted Quantized Models - The Reality Check

Building upon our [initial OCR vs VLM benchmarking study](https://www.dataunboxed.io/blog/ocr-vs-vlm-ocr-naive-benchmarking-accuracy-for-scanned-documents), this follow-up investigation tests the practical reality of self-hosted VLM deployment. While Part 1 established that Bigger commercial VLMs significantly outperform traditional OCR methods in accuracy, Part 2 addresses the critical question: Can quantized Qwen 2.5 VL models and tiny VLMs deliver production-ready OCR performance with reasonable hardware constraints?

AI Engineering
AI Engineering
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7
min
Monitoring vLLM Inference Servers: A Quick and Easy Guide

Monitoring vLLM Inference Servers: A Quick and Easy Guide

Running vLLM in production without proper monitoring is like flying blind. You need visibility into request latency (P50, P95, P99), token throughput, GPU cache usage, and error rates to optimize performance and costs. This step-by-step guide walks you through building a complete observability stack using Prometheus and Grafana—the same tools used by companies like Uber, GitLab, and DigitalOcean. In 10 minutes, you'll have professional dashboards tracking 8 key metrics that matter for LLM inference performance. 💡 **Perfect for:** MLOps engineers, platform teams, and anyone running vLLM servers who wants production-ready monitoring without the complexity.

AI Engineering
AI Engineering
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4
min
The Complete Guide to Prompt Engineering: 15 Essential Techniques for 2025

The Complete Guide to Prompt Engineering: 15 Essential Techniques for 2025

Prompt engineering has evolved from a simple art to a sophisticated science in 2025. Whether you're a developer, data scientist, or content creator, you'll learn how to structure prompts that reduce AI hallucinations, save time and costs, and unlock advanced capabilities.

AI Engineering
AI Engineering
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7
min
Prompt Engineering Best Practices for Claude 4 / GPT / Gemini

Prompt Engineering Best Practices for Claude 4 / GPT / Gemini

I've analyzed the official prompt engineering guidelines from OpenAI (GPT-4.1), Anthropic (Claude 3.7/4/Reasoning), and Google (Gemini) to create the first comprehensive comparison matrix. This comprehensive guide compares prompt engineering techniques across different leading models – helping you get better results from any AI model you use.

AI Engineering
AI Engineering
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7
min

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•⁠  ⁠Latest new on data engineering
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•⁠  ⁠Curated list of material to Become the ultimate AI Engineer