Blog / Machine Learning
Building Production-Ready RAG Systems
A practical guide to designing Retrieval-Augmented Generation systems that perform reliably at scale — from chunking strategies to evaluation frameworks.
Fine-Tuning LLMs on Enterprise Data
When off-the-shelf models are not enough: a step-by-step guide to fine-tuning large language models on your company data for better accuracy and lower costs.
Vector Databases and Semantic Search in Practice
A hands-on guide to implementing vector databases for semantic search — from choosing the right database to optimizing recall and latency in production.
AI Bias Detection and Mitigation Strategies
Practical techniques for identifying and reducing bias in machine learning systems — from data auditing to post-deployment monitoring.
The Future of Multimodal AI in Business
Text, images, audio, video, code — multimodal AI models are converging capabilities. What this means for business applications and how to prepare.