Running Mistral AI model on AWS Bedrock using Python
Mistral 7B is the first foundation model from Mistral AI, supporting English text generation tasks with natural coding capabilities.
2024-04-03 (first published: 2024-03-21)
419 reads
Mistral 7B is the first foundation model from Mistral AI, supporting English text generation tasks with natural coding capabilities.
2024-04-03 (first published: 2024-03-21)
419 reads
Any user who has a backend in AWS can leverage python to query the database and generate insights on the data by leveraging bedrock and langchain library
2024-03-21
1,040 reads
Learn how to get started with Microsoft Fabric along with the differences between managed and unmanaged tables.
2024-03-20
4,774 reads
In this script we will leverage the capabilities of Amazon Bedrock's Generative AI service to author SQL statements.
2024-02-03
627 reads
This article shows how to use Python to access data in SQL Server and produce a K-Means analysis with a chart.
2024-01-08
3,173 reads
This article will show the basic outline for how Python scripts can access and work with data in SQL Server.
2023-11-06
19,513 reads
Credit card fraud detection is an important application of machine learning techniques, including Decision Trees. The goal is to identify and detect fraudulent transactions and separate them from valid transactions to prevent financial loss and protect user accounts.
2023-10-11
2023-11-20 (first published: 2023-10-02)
2,982 reads
Learn how you can use monitor your data warehouse load process with Python code and a structured process.
2023-10-06 (first published: 2023-09-20)
2,014 reads
Credit card fraud detection is an important application of machine learning techniques, including Decision Trees. The goal is to identify and detect fraudulent transactions and separate them from valid transactions to prevent financial loss and protect user accounts.
2023-09-08
By Steve Jones
on tenderhooks – adj. feeling the primal satisfaction of being needed by someone, which...
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On SQL Server 2025, when I run this, what is returned?
SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL') See possible answers