Part 1/12:
Scaling Large Language Models (LLMs): Challenges, Criteria, and Practical Evaluation
The rapid advancement of Large Language Models (LLMs) has generated immense interest across industries, promising to revolutionize enterprise applications. However, despite the tantalizing prototypes and proof-of-concept successes, many organizations encounter significant hurdles when trying to scale up these solutions to enterprise-wide deployments. This article explores the core reasons behind these challenges, highlights key criteria for selecting appropriate LLMs, and introduces a practical evaluation approach—including a newly developed leaderboard—to aid organizations in making informed decisions.