Author Nick Volynets

When building a RAG application we often need to choose a vector embedding model, a critical component of many generative AI applications. Learn mor

Vector databases each have their pros and cons - no one will be right for all of your organization's generative AI use cases. Learn more.

Synthetic data can replace or augment existing data and be used for training ML models, mitigating bias, and protecting sensitive or regulated data. Learn more.

Discover the challenges and benefits of big data in AI, downsampling, and smart sampling techniques to reduce data size without losing accuracy.