February 14 2025Multimodal LLM Guide: Addressing Key Development Challenges Through Evaluation
This article discusses the biggest challenges in building and using Multimodal Large Language Models (MLLMs), such as hallucinations, evaluating performance, data integration, and real-time monitoring. It covers best practices for improving accuracy, reducing errors, and making MLLMs more reliable. If you're working with multimodal AI, this guide will help you tackle these challenges with practical solutions.