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Demo: fine-tuning LLMs with Tonic Textual
In this blog post, Tonic.ai’s Head of AI, Ander Steele, walks through a live demo of how Tonic Textual can be used to automatically de-identify protected health information (PHI) within unstructured data—making it safe and compliant for fine-tuning large language models (LLMs).
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Blog posts
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RAG evaluation series: validating the RAG performance of Amazon Titan vs Cohere using Amazon Bedrock
Technical deep dive
Technical deep dive
Tonic Validate
Technical deep dive
Tonic Structural
Technical deep dive
Tonic Textual
Product updates
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Test data management
Tonic Structural
Test data management
Tonic Ephemeral
Elevating RAG system reliability: integration testing with Tonic Validate & LlamaIndex
Technical deep dive
Technical deep dive
Tonic Validate
Tonic.ai editorial
Tonic Structural
Tonic Ephemeral
Data de-identification
Data privacy
Generative AI
Tonic Textual
Product updates
Test data management
Tonic Ephemeral
Technical deep dive
Tonic Structural
Tonic Ephemeral
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