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Alkis Polyzotis

Alkis Polyzotis

Neoklis (Alkis) Polyzotis is a technical lead in the machine learning platform team at Databricks. Before Databricks, he worked at Google building data/model evaluation tools for TensorFlow Extended and a catalogue for Google's internal data lake. He also held a faculty position at UC Santa Cruz. He holds a PhD in Computer Sciences from the University of Wisconsin at Madison, and an engineering diploma from the National Technical University of Athens, in Greece.

Alkis Polyzotis's posts

Streamline AI Agent Evaluation with New Synthetic Data Capabilities

Generative AI

December 9, 2024/8 min read

Streamline AI Agent Evaluation with New Synthetic Data Capabilities

Databricks announces significant improvements to the built-in LLM judges in Agent Evaluation

Data Science and ML

September 5, 2024/8 min read

Databricks announces significant improvements to the built-in LLM judges in Agent Evaluation

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Data Science and ML

July 2, 2024/9 min read

Announcing Mosaic AI Agent Framework and Agent Evaluation

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Data Science and ML

December 12, 2023/5 min read

Lakehouse Monitoring: A Unified Solution for Quality of Data and AI

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Data Science and ML

October 31, 2023/8 min read

Announcing MLflow 2.8 LLM-as-a-judge metrics and Best Practices for LLM Evaluation of RAG Applications, Part 2

Announcing Inference Tables: Simplified Monitoring and Diagnostics for AI models

Product

October 5, 2023/4 min read

Announcing Inference Tables: Simplified Monitoring and Diagnostics for AI models

Best Practices for LLM Evaluation of RAG Applications

Machine Learning

September 12, 2023/15 min read

Best Practices for LLM Evaluation of RAG Applications