This is a performance testing framework for Spark SQL in Apache Spark 2.2+. The framework contains twelve benchmarks that can be executed in local mode. They are organized into three classes and ...

No sooner did Anthropic file for its initial public offering of stock this week than it then put out a missive suggesting that AI model makers need to slow down to let us catch our breath — or else AI ...

Building a RAG system can be challenging. In addition to deployment and infrastructure challenges (eg, scaling up your vector db), there are many tradeoffs and decisions to make for each component of ...

Make sure to add databricks-labs-pytester as a test-time dependency and not as a compile-time dependency, otherwise your wheels will transitively depend on pytest, which is not usually something you ...

The Central Provident Fund (CPF) is a key pillar in Singapore’s national social security system. The CPF system serves more than 4 million CPF members by providing a foundation in retirement, through ...

As Large Language Models (LLMs) grow in complexity and scale, tracking their performance, experiments, and deployments becomes increasingly challenging. This is where MLflow comes in – providing a ...

Your browser does not support the audio element. Databricks is emerging as one of the main players in the MLOps and DevOps world. In the last month, I experienced ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...