Latest Blog Articles

• The Unseen Costs of Dirty Data: Budgeting for Data Cleaning in AI Projects

  Messy data isn’t just a technical issue - it’s a business liability. Learn how data quality impacts cost, accuracy, and ROI in AI development.

  Sep 30, 2025

• Automate Your Data Readiness: The MLOps Advantage of a Clean Training Pipeline

  Learn how Datricity AI fits into modern MLOps workflows by automating the most overlooked but essential part of model development: data preparation.

  Aug 26, 2025

• From Knowledge Bases to AI Assistants: Using Internal Docs to Fine-Tune Reliable Support Bots

  Learn how to turn your product manuals, helpdesk logs, and internal wikis into powerful fine-tuning data for building accurate, on-brand support assistants.

  Jul 29, 2025

• Why Your Fine-Tuned Model Still Hallucinates - and What to Do About It

  Hallucinations aren't just a pretraining problem. Learn how poor fine-tuning data can lead your model astray-and how Datricity AI helps you fix it.

  Jun 24, 2025

• The JSONL Blueprint: How to Structure Training Data for GPT Fine-Tuning

  Learn exactly how JSONL works, how to format prompt-completion pairs, and avoid common mistakes when preparing your GPT fine-tuning dataset.

  May 27, 2025

• Why Data Preparation Is the Real Key to Tuning Success

  Fine-tuning a custom LLM isn't just about tweaking the model - it's about preparing the right data. Discover why data preparation is the true foundation of successful AI customization.

  Apr 29, 2025

• From PDFs to JSONL: Automating the Hardest Part of Fine-Tuning AI Models

  Learn how Datricity AI simplifies the complex task of transforming unstructured PDFs, websites, and CSVs into clean, structured JSONL datasets ready for AI fine-tuning.

  Mar 25, 2025

• The Hidden Cost of Poor Data: Why Fine-Tuning Fails Without Proper Preparation

  Fine-tuning AI models is not just about data availability, but the quality of that data. Here's why poor data preparation can lead to failure in fine-tuning.

  Feb 25, 2025

• Semantic Deduplication Explained: Boost Your Model Accuracy by Cleaning Your Corpus

  Discover how semantic deduplication can drastically improve your model's performance by identifying and removing meaning-level duplicates from your training data.

  Jan 28, 2025