Cesar Miguelañez

Learn five essential metrics for crafting clear prompts that enhance the accuracy and consistency of language models.

Explore five effective patterns for scalable prompt design in large language models to enhance clarity, consistency, and maintainability.

Learn best practices for designing multi-model prompts that ensure consistent performance across AI tools, saving time and enhancing outputs.

Learn how to effectively assess Large Language Models for healthcare applications, focusing on safety, accuracy, and compliance.

Learn how to measure and enhance response coherence in large language models using practical metrics and advanced techniques.

Explore the key differences between fine-tuning and prompt engineering for optimizing Large Language Models, including when to use each approach.

Learn how to create scalable, cost-effective serverless AI workflows that automatically adjust to demand and require minimal maintenance.

Explore how feedback loops effectively reduce bias in large language models, enhancing fairness and performance in AI applications.

Explore the essential strategies for event-driven AI observability to enhance performance, ensure compliance, and detect issues early.

Explore advanced metrics for evaluating semantic relevance in AI responses, enhancing accuracy and contextual understanding.