Meet the new Google AI Assistant Gemini
Learn about the new Gemini AI from Google and how this can be used for common tasks, as well summarizing content.
2024-07-08
2,019 reads
Learn about the new Gemini AI from Google and how this can be used for common tasks, as well summarizing content.
2024-07-08
2,019 reads
In this article, we look at how to enable a large language model (LLM) to answer questions based on data stored in Azure SQL Database.
2024-06-28
What is an AI LLM useful for? Steve thinks a first draft is not a bad way to look at your AI results.
2024-06-05
229 reads
Steve doesn't have a lot of concerns about AI models writing code and reusing algorithms, but others might not feel the same way.
2024-05-29
203 reads
Learn how Daniel Calbimonte is using the AI in Bing to have some fun, write some code, and get help.
2024-05-27
2,955 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)
420 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
1,041 reads
An experienced DBA asks an AI to perform some common tasks. Read to see how it fairs and if an AI will impact DBA jobs.
2024-03-11
7,820 reads
The secretary is a keep of secrets, at least in the beginning. Is that a role an AI can take on?
2024-03-06
189 reads
Steve thinks AI might have a place in security, something Microsoft is investigating now.
2024-03-01
131 reads
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers