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Insights & field notes

Practical writing on datasets, model development, MLOps and shipping AI to production.

A Practical Guide to Data Annotation for Machine Learning Datasets

A Practical Guide to Data Annotation for Machine Learning

Annotation quality decides model quality. Here's how we approach labelling at scale without sacrificing accuracy — from guidelines to QA.

HashTechno Team May 20, 2026 6 min read
Deploying AI to the Edge: From Cloud Model to On-Device Inference MLOps

Deploying AI to the Edge: From Cloud Model to On-Device Inference

Latency, privacy and cost push more AI to the edge. Here's how we shrink models to run on Jetson, Coral and Raspberry Pi without losing accuracy.

HashTechno Team Jun 2, 2026 5 min read
Fine-Tuning LLMs Without Breaking the Bank Models

Fine-Tuning LLMs Without Breaking the Bank

LoRA, QLoRA and smart data curation let you adapt large language models on modest hardware. Here's the playbook we use.

HashTechno Team May 28, 2026 7 min read