The Lata AI Engineering Blog
Practical insights on building production AI systems — written by engineers who ship AI to production every day.
AI Agents in 2025: The Complete Enterprise Implementation Guide
AI agents are moving from demos to production. Here's what enterprise teams need to know about architecture, reliability, and deployment.
Computer Vision for Manufacturing: From Pilot to Production at Scale
Industrial computer vision projects have a notoriously high failure rate. Here's what separates successful deployments from expensive pilots that never scale.
Fine-Tuning LLMs in 2025: When, Why, and How to Do It Right
Fine-tuning has become dramatically more accessible. But knowing when to fine-tune versus RAG versus prompt engineering can make or break your AI project.
Cutting AI Infrastructure Costs by 60%: A Technical Playbook
Enterprise AI bills are growing fast. Here's a proven technical playbook for cutting GenAI and ML infrastructure costs without sacrificing performance.
Advanced RAG Architecture Patterns for Production 2025
Naive RAG rarely works well enough for production. Here are the advanced patterns that actually deliver reliable, accurate AI applications.
Building AI-First Products: Strategy for Founders and Product Leaders
Most AI products fail not because of bad AI but bad product strategy. Here's how to build AI products that create defensible, durable value.
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