Tag: AI

  • Using AI with Data Tasks

    The hot new technology of the year is AI. Between ChatGPT, Copilot, and generative AI, it seems that this is invading the world of computing at an incredible rate. Whether this becomes really useful and valuable or not is something that we will seem over time. There have been plenty of trends in this area in the past that haven’t become as ubiquitous as the hype would lead you to believe.

    I’ve done some light experiments with AI on my blog. To date, I haven’t found this to be that useful, other than a few cases where I basically used an AI to search the web for me. Rather than read a bunch of SSC or Stack Overflow results, the AI summarized things.

    Somewhat.

    I definitely had to test and verify the code more than I feel I’ve done with code posted in a forum. Of course, I do less experimenting because the AI results were a little more targeted to what I needed, rather than my cobbling knowledge and partial solutions together. I’m also not sure which I prefer.

    I would like to use AI for data work, and there is an article that talks about some of the ways that we’ve used AI in the past. Data profiling has made sense, and I can see value here. For data security, I’m not sure how helpful AIs have been. I’ve looked at some products, and I don’t know that I think any of them do a great job of identifying data. They do make it easy for whoever is assigned the task by doing some of the work, but they aren’t a panacea. They make mistakes, just like humans do.

    I do think data observation and looking for anomalies is a place where AI can really shine, but that’s not the data work that many of us do. It matters, but for most of us, this isn’t something we deal with.

    The future of AI was more interesting. The idea of data homogenization, taking data from different sources, and fitting it to a data model is interesting. Of course, the AI can’t make too many mistakes, or the time correcting might overwhelm the time saved. I think we see that now with humans who we ask to ETL data. If they aren’t good at it, or make lots of mistakes, those of us overseeing them might just do the entire job ourselves.

    I know that AIs are still new and immature, and while there is a lot of potential, they feel like junior staffers now, needing more handholding and micromanaging than I like to do. Perhaps they will change our careers and the way we work, but I don’t know how quickly, or even how deeply. Already I find lots of companies putting restrictions on what their employees can do with AI, which makes me think this might be more a targeted, niche technology more than a general, use-it-everywhere solution.

    Steve Jones

  • Adding Copilot to Azure Data Studio and a Few Experiments

    As a part of a recent Data Exposed that I was on, there was an ADS update which mentioned Copilot being added. Since I’ve been experimented, I decided to give this a try.

    This is part of a series of experiments with the ChatGPT and other AI systems. Lots of Copilot lately.

    Installation

    One of the easy things about VSCode and ADS is that you can install things from the marketplace very easily. You search and it appears, as shown here. Click Install to add it.

    2023-08-02 12_33_05-Extension_ GitHub Copilot - VCS_Primer-1 - Azure Data Studio

    Once you do this, it’s enabled. I have access to the Copilot with my GitHub account, so I assume this picked this up.

    Using Copilot in ADS

    There’s a blog about what this tech is and a few workflows. However, I decided to try something first. I picked a table in this connection and started typing. Copilot added a suggestion.

    2023-08-02 12_40_32-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    It’s not a good one. That’s a table, not a function.

    2023-08-02 12_40_51-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    Yeah, some AI isn’t reading my schema and sending it back to GitHub. Boo, this isnt’ helpful. I can only guess that seeing “StringSplit” had the AI guessing this was related to string_split(). Something a new dev might think.

    2023-08-02 12_47_56-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    OK, let’s pick a table and see if intellisense works better. I’m guessing it doesn’t. Here’s a suggestion based on what I typed.

    2023-08-02 12_43_04-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    Not a bad guess. I have some schema in here, and there is an OrderHeader related to a Customer table. However…

    2023-08-02 12_43_24-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    There is no orderdetail. This clearly isn’t intellisense. It’s an AI taking guesses.

    Trying Comments as Prompts

    Let me try a few things from the blog. I’ll enter a comment.

    2023-08-02 12_50_25-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    I don’t like that. While I think this is valid for MySQL or PostgreSQL, it isn’t for SQL Server. Setting aside why LIMIT isn’t in T-SQL, why doesn’t copilot recognize this is T-SQL? Let me help it.

    2023-08-02 12_54_06-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    Better, but I don’t want to add “in T-SQL” to everything.

    Another experiment. I tried a couple of prompts, but realized that asking for “orders” doesn’t mean that the AI knows I mean orderheader. Context around what or where an order is stored is something humans might include in natural language. However, I got this:

    2023-08-02 12_55_26-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    Which doesn’t work. I’d left the “in t-sql” from the previous prompt, so I’m not annoyed there, but this isn’t looking at schema. I also find the Oracle help not helpful.

    2023-08-02 12_55_36-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    However, this was interesting. I wanted a shipdate (this is a column) in 2023. The first suggestion was = Jan 1, but when I deleted that and hit enter again, I got this.

    2023-08-02 12_58_12-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    Not bad. I tried a longer prompt, with a few comments. All of the code was suggested a line at a time, and when I hit Enter, I got the next line.

    2023-08-02 13_00_38-● SQLQuery_1 - Aristotle_SQL2022.sandbox (Integrated) - VCS_Primer-1 - Azure Dat

    The blog does note that adding the table create at the top of the query helps. Let’s try that.

    I’ll add creates for customer and orderheader. I then try a simple prompt and get this.

    2023-08-03 15_19_54-● SQLQuery_2 - dbo.OrderHeader Aristotle_SQL2022.sandbox (Integrated) - VCS_Prim

    Note, I tried “write a query”, but that didn’t work. I used “fetch” from the blog and that got me something. Though, not sure why this term is needed.

    I also changed my prompt trying to get all matching orders and got this instead.

    2023-08-03 15_20_20-● SQLQuery_2 - dbo.OrderHeader Aristotle_SQL2022.sandbox (Integrated) - VCS_Prim

    I also tried changing this to get matching orders. No idea why the customer name is limited in here.

    ads_query_1

    What about aggregates? I know some people have trouble with these.

    ads_query_2

    Not bad.

    Conclusion

    Adding Copilot to ADS is easy, but using it isn’t. The code it produces can have lots of mistakes, and not even work. It can make some strange assumptions, like junior devs might do.

    Adding context makes things better, but for many of these simple queries, I have to describe things enough that I might as well write the query. Especially with SQL Prompt, I’d use SSMS instead.

    However, learning to use prompts is a skill and it’s one to work on. Hopefully the AI will improve over time and I’ll start to see more useful suggestions, especially with different types of code.

    So far, I’m impressed very little with this tool.

  • Copilot Experiments: A little PowerShell help

    It’s been a little while since I’ve had time to relax a bit and try some AI help. This is another experiment I made.

    A user on SSC asked about PowerShell to copy files with a date appended.

    This is part of a series of experiments with the ChatGPT and other AI systems. Lots of Copilot lately.

    I added some code to a new file and typed a prompt:

    2023-07-31 14_57_41-● copyfiles.ps1 - sqlsatwebsite - Visual Studio Code

    If I run this, it does work. Sort of.

    2023-07-31 14_58_51-fileloading

    It made a folder copy, not a file copy. However, the filter worked.

    2023-07-31 14_58_58-fileloading

    Let’s try again. I’ll modify the prompt and get Copilot to explain what it’s doing in the code. I get this:

    2023-07-31 15_00_59-● copyfiles.ps1 - sqlsatwebsite - Visual Studio Code

    Which works:

    2023-07-31 15_01_04-fileloading

    Hmmm, can it do what I want.

    I tried a few prompts in the code window, but I kept getting things that wouldn’t work, like call copyfiles.bat, or something that didn’t work.

    Let’s move on.

    Copilot Chat

    I got access to the Copilot Chat as part of Redgate. There is a new chat extension to add to VS Code, which I did. I opened it and got this with my prompt:

    2023-07-31 15_05_17-● copyfiles.ps1 - sqlsatwebsite - Visual Studio Code

    Good, this code will copy the files, but does all of them.

    2023-07-31 15_07_23-fileloading

    One advantage of AI bots is I don’t need to start over. I did this:

    2023-07-31 15_08_04-● copyfiles.ps1 - sqlsatwebsite - Visual Studio Code

    This worked correctly.

    2023-07-31 15_08_38-fileloading

    This was a simple example, but it produced about the same code as I did, albeit slightly cleaner. Mine was this:

    $source="c:\fileloading" #location of starting directory
    $destination="c:\filecopy"; #location where files will be copied to
    $files="*dys_ihhist*" #files matching this pattern

    # write a powershell command to get a list of files in $source matching the $files pattern
    $a = get-childitem $source -filter $files
    $a | foreach {write-host $($_.basename)-$(get-date -f yyyyMMdd)$($_.extension)}

    # write a powershell command to copy files from source to destination appending the date to the filename
    $a | foreach {copy-item $_.fullname $destination\$($_.basename)-$(get-date -f yyyyMMdd)$($_.extension)}

    I don’t know enough PoSh to know which is really better. And honestly, I don’t feel like testing at scale. Let me know if you have knowledge here.

    However, the chat window for copilot produced this quicker than I did, without me having to try and remember the PoSh parameters and structures of the functions. I had to dig around on SO to remember basename was what I needed and look up the parameter for get-date.

    The code window isn’t great, and partially I think because I don’t know how to get prompts to work in the comments, but I do like the chat window. I’ll keep playing.

  • Constitutional AI

    I will admit that I don’t know a lot about AI (Artificial Intelligence) systems and how they are built. I’ve been playing with them a bit and haven’t been overly impressed with the results. I think some of this is that the my work is creative and I’m both used to being creative and I find the AIs less creative. And less accurate. And require a lot of editing. I don’t mind editing, but not if it takes longer than just writing things myself.

    From my understanding, a lot of the models behind AI systems (chatbots, recommenders, etc.) are built with humans giving them feedback on their responses in what’s known as RLHF (Reinforcement Learning from Human Feedback). Essentially paid (often low paid) people that help to “guide” the AI into responses that are useful.

    I don’t quite know how that looks, and I certainly don’t want a job doing that. Definitely not if it’s looking at a lot of UIs like the one in this article. Can you imagine being paid to read things like this and then try to rank them? I can’t imagine they keep getting great input from evaluators across the day. Maybe 9am-10am, but I’d bet the 4pm-5pm responses are quick clicks.

    There was an article about a company trying something different: constitutional AI training. There’s a better description on the Anthropic website. It seems in this case they are creating some principles and limited human feedback, but then relying on an AI to give feedback to another AI? Or itself? I have to admit that I’m not completely sure of what happens here.

    Ultimately, I like the idea here, but I think the idea of a single LLM/AI model that suits every situation, or one that works in every geography doesn’t make sense. We have different thoughts among people and different cultures all over the world. I’d expect that we might have different types of AIs in different situations or environments. The one that helps decide how to deal with nuclear safety likely needs to be different from the one governing traffic signals. I certainly don’t want one TruthGPT to be the one true voice on all things.

    The idea of AI systems, assistants and more seems  complex and more strange than anything I’d have imagined from reading science fiction. As with many things, the reality is far different from the speculation I’ve had about how I would respond or want a system to behave. I think that’s the nature of science fiction; it picks specific situations and tailors the story to fit. The real world is much more messy.

    I don’t know where we go, but I’m curious as many of you have had more exposure to AI. Is it helping? Hurting? Useful? Are you excited or worried for the future? I’m curious what you think, mostly because I’m not sure what I think.

    Steve Jones

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