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AI tutorials, workflow breakdowns, and implementation guides.

cpu vs gpu vs tpu vs npu

The CPU, GPU, TPU, and NPU each serve a unique purpose in modern computing. CPUs remain the foundation of general-purpose computing. GPUs revolutionized AI by enabling massive parallel processing. TPUs pushed machine learning performance to new levels through specialized tensor operations. NPUs are bringing AI directly to consumer devices with exceptional efficiency.

Ashish Kumar, smk·12 July 2026
Prompt Engineering vs Context Engineering vs Harness Engineering

Artificial Intelligence has evolved far beyond simply asking ChatGPT a question and receiving an answer. As AI systems become more capable and businesses increasingly rely on them for real-world applications, new disciplines have emerged to improve how these systems perform.

Ashish Kumar·12 July 2026
Google Just Made AI 8× More Efficient With One Breakthrough Tool

TurboVec is a separate open-source implementation created by developer Ryan Codrai using Google's TurboQuant research. It is written in Rust and includes Python bindings for AI developers.

Ashish Kumar, Shyam Kunwar·12 July 2026
RAG architecture

RAG architecture enhances LLMs with external data for accurate responses. It prevents hallucinations and ensures up-to-date information.

Ashish Kumar, smk·12 July 2026
What is Slopsquatting

Slopsquatting is a software supply-chain attack where malicious actors register non-existent package names that large language models (LLMs) frequently hallucinate.

Ashish Kumar·12 July 2026
AMD Ryzen AI Halo: The Compact AI Workstation
Ashish Kumar, smk·12 July 2026

About the TRONLAB Blog

The TRONLAB blog is where theory meets practice. Every article is written with one goal: giving you something you can implement today. No vague thought-leadership, no regurgitated press releases — just actionable content showing you exactly how to use AI in your work.

Expect deep-dive tutorials that walk through specific AI implementations step by step, honest tool reviews based on real usage (not sponsored marketing), workflow breakdowns showing exactly which prompts, tools, and integrations to use, and practical guides tailored to Indian professionals working across HR, marketing, sales, freelancing, and development.

Whether you're implementing your first AI workflow or optimising a multi-tool automation chain, you'll find content matched to your experience level. Articles are tagged by category and difficulty so you can quickly find what's relevant to your current skill level and industry.