LLM Selection War Story: Choosing Failure Modes You Can Live With

Introduction

In our previous articles on Large Language Models (LLMs), we discussed the importance of selecting the right model for your business needs. However, the reality is that all LLMs will fail at some point. The question then becomes not which model is "best," but which model's failures won't kill your business.

Choosing the Right Failure Mode

When selecting an LLM, it's essential to consider the potential failure modes and their impact on your business. Here are a few key considerations:

1. Data Bias

LLMs can perpetuate existing biases in training data. This can lead to undesirable outcomes, such as:

Discriminatory language use

Stereotyping and prejudice

Mitigation Strategies:

Regularly review and update your dataset to ensure it reflects diverse perspectives

Implement bias-detection tools during model development and deployment

Use fairness metrics to evaluate model performance

2.…