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BigID launches BigAI, a ‘privacy-by-design’ LLM designed to discover data

Flipboard

Today, data discovery and classification provider BigID announced the launch of BigAI, a new large language model (LLM) designed to scan and classify enterprises’ data to optimize their security and enhance risk management initiatives. BigAI enables organizations to scan structured and unstructured …

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Why data governance is essential for enterprise AI

IBM Journey to AI blog

This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. Risks of training LLM models on sensitive data Large language models can be trained on proprietary data to fulfill specific enterprise use cases.

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Using Healthcare-Specific LLM’s for Data Discovery from Patient Notes & Stories

John Snow Labs

The post Using Healthcare-Specific LLM’s for Data Discovery from Patient Notes & Stories appeared first on John Snow Labs. We will also review responsible and trustworthy AI practices that are critical to delivering these technology in a safe and secure manner.

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Amazon AI Introduces DataLore: A Machine Learning Framework that Explains Data Changes between an Initial Dataset and Its Augmented Version to Improve Traceability

Marktechpost

Second, for each provided base table T, the researchers use data discovery algorithms to find possible related candidate tables. This facilitates a series of data transformations and enhances the effectiveness of the proposed LLM-based system. These models have been trained on billions of lines of code.

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Unleashing the power of generative AI: Verisk’s Discovery Navigator revolutionizes medical record review

AWS Machine Learning Blog

The generative AI large language model (LLM) can be prompted with questions or asked to summarize a given text. With each round of testing, Verisk added instructions to the prompts to capture the pertinent medical information and to reduce possible hallucinations.

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12 AI Insight Talks to Help Improve Your Company’s AI Game at ODSC West

ODSC - Open Data Science

Tuesday, October 29th Efficient AI Scaling: How VESSL AI Enables 100+ LLM Deployments for $10 and Saves $1M Annually Jaeman An | Electrical and Electronics Engineering | Vessl.ai Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai Learn more about the AI Insight Talks below.

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Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning Blog

Challenges and considerations with RAG architectures Typical RAG architecture at a high level involves three stages: Source data pre-processing Generating embeddings using an embedding LLM Storing the embeddings in a vector store. You can also use custom data identifiers to create data identifiers tailored to your specific use case.