Tutorials

In our tutorials, we explore a range of Mandoline use cases:

• Prompt Engineering: Reducing moralistic tendencies in LLM responses
• Model Selection: Comparing application-specific performance of GPT-4 and Claude
• Multimodal Evaluation: Evaluating LLMs on both text and vision inputs

Each tutorial provides practical examples and step-by-step guidance for using Mandoline to solve real-world AI challenges. Whether you're optimizing prompts, selecting models, or evaluating multimodal capabilities, these guides will help you build better LLM applications.