Join this insightful webinar hosted by Gretel and Galileo to explore the intersection of synthetic data and large language model (LLM) evaluation. Gretel, the leading synthetic data platform for AI, will showcase how synthetic data can enhance model training, privacy, and scalability by generating diverse, high-quality datasets. Galileo, a pioneering Evaluation Intelligence company, will demonstrate their platform for assessing LLM performance, helping organizations ensure models are accurate, safe, and reliable.
In this webinar, you will learn:
- How synthetic data can address data scarcity, improve LLM training outcomes, and overcome challenges in model evaluation.
- How leveraging trusted metrics and evaluation workflows across AI development can accelerate iteration cycles and unlock measurable improvements in models
- Practical examples, real-world use cases, and best practices for teams looking to optimize and accelerate their AI development pipeline
Don’t miss this opportunity to learn from industry leaders and take your AI initiatives to the next level.
