## About the author

Joe Ferrara is a Staff AI Scientist at Tonic.ai, where he uses the latest developments in artificial intelligence to improve named entity recognition and synthetic data generation in Tonic Textual. He holds a Ph.D. in Mathematics from the University of California, Santa Cruz, and a B.A. in Mathematics from the University of California, Berkeley. Prior to his role at Tonic.ai, Joe served as a Data Scientist at ICW Group, where he gained experience applying traditional data science techniques in the context of the insurance industry. His background in theoretical mathematics research gives him a unique perspective on his work in artificial intelligence and machine learning.

## Latest insights from Joe Ferrara, PhD

### The challenges of preparing unstructured data for Generative AI

### How to create de-identified embeddings with Tonic Textual & Pinecone

### RAG evaluation series: validating the RAG performance of Amazon Titan vs Cohere using Amazon Bedrock

### Introducing Tonic Validate: a platform for streamlining RAG application development

### What is retrieval augmented generation? The benefits of implementing RAG in using LLMs

### What is Named Entity Recognition (NER)?

### Safeguarding data privacy while using LLMs

## Explore our authors

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