AI Evals For Engineers & PMs teaches developers and product managers essential skills to effectively test, debug, and enhance AI systems, especially large language models (LLMs). This course emphasizes practical applications over theoretical concepts, ensuring participants gain hands-on experience.
Key Benefits of the Course
- systematic error analysis: Learn how to identify and analyze errors in AI outputs systematically, enabling you to improve the reliability of your models.
- trustworthy LLM-as-judge systems: Discover techniques to build LLM systems that can evaluate outputs accurately, enhancing the credibility of your AI applications.
- synthetic data creation: Master the art of generating synthetic data to train your models effectively, ensuring they perform well in diverse scenarios.
- RAG evaluations: Implement retrieval-augmented generation evaluations to enhance retrieval accuracy and streamline debugging processes in multi-step pipelines.
This course is designed for engineers and product managers who are developing LLM applications and need reliable evaluation metrics. Participants will emerge with the skills necessary to tackle complex evaluation challenges in their AI projects.
Who This Course Is For
- Engineers working on AI projects that require rigorous evaluation and debugging of large language models.
- Product managers overseeing AI initiatives that demand reliable metrics for performance assessment and validation.
- Data scientists involved in creating and testing AI systems, particularly those focusing on subjective output evaluation.
File Details
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Total Size: 8.6GB
How to Get Your Files:
– Enter your email address in the "Message" field at checkout.
– Your Google Drive access link will be emailed immediately after payment confirmation.
– Enjoy Lifetime Access to stream or download your files.
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