How can fuzzy matching be used for pushing the boundaries of AI capabilities? What is the concept of artificial general intelligence (AGI)?

Dec 15, 2023 ... You could of course do this using Python (fuzzywuzzy module) and the API, but that's essentially not using Smartsheet. I would suggest that you ... Mar 20, 2024 ... Use case or problem · Note name contains the match and also begins with the match. · Note name contains the match but doesn't begin with the ... I also just tried this in a live instance of Dependency Track and was able to get 80~ vulnerabilities associated for all cases but the first, Mandatory Fields ... Jan 23, 2018 ... I'm trying to fuzzy match between two fields on a row level in a data set of matching pairs that were prepared on a specific detailed criteria. Aug 29, 2017 ... My use case is, I have a list of account names and would like to fuzzy match to my existing account names (from another source such as Redshift ... Mar 27, 2006 ... A definitive version which contains slightly more efficient code, and better matching algorithms, so here it is. Sep 1, 2015 ... I want to create an algorithm that performs a fuzzy search on a list of names of schools. This is what I have looked at so far. Jul 15, 2022 ... Fuzzy string matching is an artificial intelligence and machine learning technology that identifies similar, but not identical elements in data table sets. Jan 18, 2023 ... Here is an example of how you could identify duplicates and bring them together without having a 'ground truth'. The workflow will try to determine the groups ... Feb 10, 2025 ... Nested Ecto Fragments to Generate Fuzzy Match Query · a function that produces the CASE · a greatest function that can take multiple of the CASE ...