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
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