🤖Jev and Unsiloed: New AI Tools for Data Extraction and Validation
New AI Tools for Data Extraction and Validation
TL;DR
Jev and Unsiloed are new AI tools for data extraction and validation, offering three types of judgments and detailed confidence scores. Jev's noul value is used for plausibility checks, and the model is priced at $42 per billion input tokens.
Jev and Unsiloed are new AI tools for data extraction and validation, offering three types of judgments and detailed confidence scores. Jev judges extracted information against focused questions, providing noul, choice, and score types. Unsiloed extracts structured fields and provides confidence scores. Teams should pay attention to the plausibility checks and review rules for data integrity. Jev is priced at $42 per billion input tokens, with output free. Processing 100,000 similar documents would add about $7.61 in Jev charges.
Key Points
Jev offers three types of judgments: noul, choice, and score, priced at $42 per billion input tokens.
Unsiloed extracts structured fields and provides confidence scores, helping identify ambiguous readings.
Jev uses noul values for plausibility checks, with review rules for scores below 0.90 or plausibility below 0.50.
Processing 100,000 similar documents would add about $7.61 in Jev charges, making it cost-effective for large datasets.
Jev and Unsiloed can be used together to enhance data extraction and validation processes.
Why It Matters
If you're working on data extraction and validation, Jev and Unsiloed offer robust tools with detailed confidence scores and plausibility checks. Teams should review their data integrity rules to ensure accurate data processing. Jev's pricing model makes it cost-effective for large datasets, with output free.
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