The Oxvell Blog

AI/ML Insights & Tutorials

Expert insights on AI/ML, career growth, and the future of technical training — written by the practitioners who teach on Oxvell.

LLMs

12 min read

Building a RAG Pipeline from Scratch in 47 Minutes

Step-by-step guide to building production-ready Retrieval-Augmented Generation systems — from chunking strategy to vector store selection to prompt engineering.

Dr. Priya Sharma

Feb 10, 2026

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MLOps9 min read

Why Your ML Model Works in Jupyter But Fails in Production

The gap between a notebook that scores 94% accuracy and a model that survives real traffic is enormous. Here are the 8 failure modes that catch most ML engineers off guard.

James Okafor

Feb 4, 2026

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LLMs15 min read

Fine-Tuning LLaMA 3 on a $20/month Budget

Parameter-efficient fine-tuning has made custom LLMs accessible to individual researchers. Here's how to adapt LLaMA 3 8B to a specialized domain using QLoRA on a single rented GPU.

Dr. Priya Sharma

Jan 28, 2026

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MLOps11 min read

The MLOps Stack in 2026: What You Actually Need

The MLOps tooling landscape has consolidated significantly. Here's an opinionated guide to the minimal viable stack that actually ships models without drowning your team in infrastructure.

Rahul Menon

Jan 20, 2026

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Career7 min read

From Data Analyst to ML Engineer: A Real 90-Day Roadmap

Skipping the fluff — a brutally honest, week-by-week learning plan for analysts who want to make the ML engineering transition without quitting their day job.

Aisha Patel

Jan 12, 2026

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A continuous stream of technical insight