Vladyslav Betsun, Author at Beetroot

AI/ML
10 min read

RAG vs Fine-Tuning for ERP Data: Choosing the Right LLM Strategy for Enterprise AI

Layering LLMs over sensitive ERP data requires a critical choice between Retrieval Augmented Generation (RAG) and fine-tuning, a strategic decision that impacts security, compliance, and cost. This practical guide breaks down the head-to-head trade-offs, from data freshness and hallucination risk to auditability, to help you choose the right LLM strategy. We explore why RAG is often the safer default for real-time ERP data, and how a hybrid approach delivers the strongest results.

Denys Pluhatar Read more Mar 20, 2026

AI/ML
EdTech
11 min read

Human-in-the-Loop Meets Agentic AI: Building Trust and Control in Automated Workflows

As AI systems grow more autonomous, questions of oversight, trust, and accountability take center stage. This article explores how the human-in-the-loop (HITL) approach helps organizations balance automation with human judgment, thereby reducing risk, enhancing accountability, and strengthening governance in AI initiatives. A practical read for decision-makers seeking to make agentic AI not just powerful, but trustworthy and sustainable.

Vladyslav Betsun Read more Oct 07, 2025