Tag: tools
Teach Students how to Use ChatGPT
Posted by bsstahl on 2022-12-17 and Filed Under: tools
There have been a number of concerns raised, with clearly more to come, about the use of ChatGPT and similar tools in academic circles. I am not an academic, but I am a professional and I believe these concerns to be misplaced.
As a professional in my field, I should and do use tools like ChatGPT to do my job.
I, and the teams I work with, experiment with ways to use tools like ChatGPT better. We use these tools to create the foundation for our written work. We use them to automate the mundane stuff. We use them as thinking tools, to prompt us with ideas we might not have considered. This is not only allowed, it is encouraged!
Why should it be different for students?
There are several good analogs for ChatGPT that we all have used for years, these include:
The predictive text on our mobile phones - It is the same as pressing the middle word on the virtual keyboard to autocomplete a sentence. That is all this tool does, predict what is the most likely next word based on the inputs.
The template in your chosen word processing software (i.e. MS Word or Google Docs) - Both will create a framework for you where you fill in the details. This is really all that ChatGPT does, it just does it in a more visually impressive way.
Grammar and Thesaurus Software - "Suggests" words that can be modified to make the meaning clearer or the language more traditionally appropriate.
Wikipedia, or other information aggregator - A source of text that can be used as a starting point for research, or a source of plagiarized material, at the discretion of the user.
Nobody thinks twice about using any of these tools anymore, though there was certainly concern early-on about Wikipedia. This is probably due to reasons like these:
If anyone, student or professional, produced a work product that was just an unmodified template, it would considered very sloppy and incomplete work, and would be judged as such on its merits.
If anyone, student or professional, produced a work product that was copied from Wikipedia or other source, without significant modification or citation, there would be clear evidence of that fact available via the Internet.
ChatGPT is concerning to academics because it has become good enough at doing the work of these template and predictive tools to pass a higher standard of review, and its use cannot be proven, only given a probability score. However, like all tools, the key is not that it is used, but how it is used.
The text that ChatGPT produces is generated probabilistically. It is not enough just to have it spit out a template and submit it as work product. Its facts need to be verified (and are often wrong). Its "analysis" needs to be tested and verified. Its "writing" needs to be clarified and organized. When you submit work where ChatGPT was used to automate the mundane task of generating the basic layout, you are saying that you have verified the text and that you stand behind it. It is your work and you are approving it. If it has lied, you have lied. If the words it spit-out result in a bad analysis, it is your bad analysis. The words are yours when you submit them regardless of whether they were generated via the neural network of your brain, the artificial neural network of ChatGPT, or some other, perhaps procedural method.
I'll say it clearly for emphasis:
All work should be judged on its merits
Educators should teach how to use these tools responsibly and safely
Academics and professionals alike, please do not attempt to legislate the use of these tools. Instead, focus on how they should be used. Teach ethical and safe usage of these tools in a similar way to how we teach students to use Wikipedia. These productivity aids are not going away, they are only going to get better. We need to show everyone how to use them to their advantage, and to the advantage of their teams and of society.
My field of Software Engineering is primarily about solving problems. To solve problems, we describe solutions to these problems in ways that are easy for a machine to interpret. The only difference between the code I write that goes into a compiler to be turned into machine-executable instructions, and the code I write to go into ChatGPT is the language that I use to describe my intent. Using ChatGPT is just writing a computer program using the English language rather than C# or Python. A process such as that should absolutely be encouraged whether the usage is academic or not.
It is my firm belief that the handwringing about the productivity gains that a fantastic tool like ChatGPT can give us is not only misplaced, it is often dangerously misleading.
Addendum
I am only now realizing I should have used ChatGPT to produce the foundations of this text. A missed opportunity to be certain, though to be fair, I originally intended this to be a one or two liner, not an essay.
Disclosure
I have no stake whatsoever in ChatGPT except as a beta user.
Troubleshooting Information for Machinelearning-ModelBuilder Issue #1027
Posted by bsstahl on 2021-04-03 and Filed Under: tools
Update: The issue has been resolved. There was an old version of the Extension installed on failing systems that was causing problems with Visual Studio Extensions. Even though the version of the Extension showed as the correct one, an old version was being used. A reinstall of Visual Studio was needed to fix the problem.
There appears to be a problem with the Preview version of the ModelBuilder tool for Visual Studio. This issue has been logged on GitHub and I am documenting my findings here in the hope that they will provide some insight into the problem. I will update this post when a solution or workaround is found.
I want to be clear that this problem is in a preview version, where problems like this are expected. I don't want the team working on this tooling to think that I am being reproachful of their work in any way. In fact, I want to compliment them and thank them for what is generally an extremely valuable tool.
To reproduce this problem, use this Data File to train an Issue Classification or Text Classification model in the ModelBuilder tool by using the Key column to predict the Value column. The keys have intelligence built into them that are valid predictors of the Value (I didn't design this stuff).
Machines that are unable to complete this task get a error stating Specified label column 'Value' was not found. with a stack trace similar to this.
This process seems to work fine on some machines and not on others. I have a machine that it works on, and one that it fails on, so I will attempt to document the differences here.
The first thing I noticed is that the experience within the tool is VERY DIFFERENT even though it is using the exact same version of the Model Builder.
From the machine that is able to train the model
From the machine having the failure
Everything seems to be different. The headline text, the options that can be chosen, and the graphics (or lack thereof). My first reaction when I saw this was to double-check that both machines are actually using the same version of the Model Builder tool.
Verifying the Version of the Tool
Spoiler alert: To the best I am able to verify, both machines are using the same version of the tool.
From the machine that is able to train the model
From the machine having the failure
My next thought is that I'm not looking at the right thing. Perhaps, ML.NET Model Builder (Preview) is not the correct Extension, or maybe the UI for this Extension is loaded separately from the Extension. I can't be sure, but I can't find anything that suggests this is really the case. Perhaps the dev team can give me some insight here.
Verifying the Region Settings of the Machine
While these versions are clearly the same, it is obvious from the graphics that the machines have different default date formats. Even though there are no dates in this data file, and both machines were using US English, I changed the Region settings of the problem machine to match that of the functional machine. Predictably, this didn't solve the problem.
From the machine that is able to train the model
From the machine having the failure - Original Settings
From the machine having the failure - Updated Settings
Checking the Versions of Visual Studio
The biggest difference between the two machines that I can think of, now that the region settings match, is the exact version & configuration of Visual Studio. Both machines have Visual Studio Enterprise 2019 Preview versions, but the working machine has version 16.9.0 Preview 1.0 while the failing machine uses version 16.10.0 Preview 1.0. You'll have to forgive me for not wanting to "upgrade" my working machine to the latest preview of Visual Studio, just in case that actually is the problem, though I suspect that is not the issue.
From the machine that is able to train the model
From the machine having the failure
There are also differences in the installed payloads within Visual Studio between the 2 machines. Files containing information about the installations on each of the machines can be found below. These are the files produced when you click the Copy Info button from the Visual Studio About dialog.
From the machine that is able to train the model
Visual Studio Payloads - Functional Machine
From the machine having the failure
Visual Studio Payloads - Problem Machine
Windows Version
Another set of differences involve the machines themselves and the versions of Windows they are running. Both machines are running Windows 10, but the working machine runs a Pro sku, while the problem machine uses an Enterprise sku. Additionally, the machines have different specs, though they are consistent in that they are both underpowered for what I do. I'm going to have to remedy that.
I've included some of the key information about the machines and their OS installations in the files below. None of it seems particularly probative to me.
From the machine that is able to train the model
System and OS - Functional Machine
From the machine having the failure
System and OS - Problem Machine
Other Things to Check
There are probably quite a number of additional differences I could look at between the 2 machines. Do you have any ideas about what else I could check to give the dev team the tools they need to solve this problem?
Committing to Git from an Azure DevOps Pipeline
Posted by bsstahl on 2020-06-17 and Filed Under: tools
There are occasions, such as when working with static website generators, that you'll want to push some changes made in an Azure DevOps pipeline, back into the source Git repository. This process is simple enough, but since I have struggled to get it configured twice now, I am documenting the process here for your use, and my future use.
Azure DevOps pipelines typically contain two parts, although other configurations are possible. The two standards are:
- Get sources - gets the information to work with from a Git repository or other source control environment
- Agent Job - holds the tasks required to complete the pipeline
You'll need to take the following steps to configure the interactions between your source control provider and your pipeline:
- Configure the Get sources section of the pipeline by selecting your source control provider from the list of options and then choosing the repository from the list within that provider. For most providers, you will need to supply credentials with access to the repository, although the pipeline may already have the basic access it needs to read from an Azure DevOps Repo.
- [optional] Configure an Agent Job to perform any cleanup of the repo necessary. When building a static website, I first delete all files from the target directory (the old static website files) so that only the files that are still needed are included in the final deployment.
Note: for all Agent Job steps that involve scripting, I use the Command Line task which allows me to execute my scripts in one of the native OS shells (Bash on Linux and macOS and cmd.exe on Windows). You could just as easily use the Powershell task, which is cross-platform or any number of other options.
Execute your build process. This is the step that generates the new files that will eventually be committed back into the source repository. Each static website generator has their own method for creating the site, see the documentation for your tooling for specifics. You can also execute custom tools or scripts here that modify files in the repository any way you'd like.
Execute the commit back to the source repo. This is the money step, where everything that has been done to this point is saved in the repository. As with previous steps, I use the Command Line task to execute the needed commands. My script is shown below. It is written for the Windows cmd.exe shell so commands that start with ECHO are log entries that will be included in the pipeline's execution log to help with troubleshooting and maintenance. This script uses a number of pipeline variables which take the form $(variableName) to make configuration easier. The git.email and git.user variables were defined by me in the Variables section of the pipeline, you will need to either configure those variables yourself, or substitute their values in the script. The Build.SourceVersion and Build.SourceVersionMessage variables are supplied by the pipeline and no action was required on my part to create or enable them.
An interesting thing to note about this script is the git push command. The full command git push origin HEAD:master is required in this case, rather than just a simple git push because, once the files are downloaded into the pipeline repo, the local repository is disconnected from the remote by the pipeline, possibly as a safety measure. We have to tell the local repo to push back to the remote HEAD, or else the push will fail. I suspect there is a way to tell the pipeline not to disconnect the head, but doing things this way, to my knowledge, has no ill-effects and is simple enough that it isn't really worth the effort for me to find out.
ECHO ** Starting "Git config for user: $(git.user)"
git config --global user.email "$(git.email)"
git config --global user.name "$(git.user)"
ECHO ** Starting "Git add..."
git add .
ECHO ** Starting "Git commit..."
git commit -m "Static site rebuild due to commit $(Build.SourceVersion) '$(Build.SourceVersionMessage)'"
ECHO ** Starting "Git push..."
git push origin HEAD:master
ECHO ** Ending Update remote git repo script
Update 2022-07-13: There is an additional option that needs to be enabled in the pipeline's Agent Job.
☑ Allow scripts to access the OAuth token
This option must be checked so that the script can acquire the permissions to update the repository.
There are other ways to do all of this of course. One idea that intrigues me that I haven't tried yet is to have the build service submit a pull-request to the remote git repo. This would require an additional approval step before the changes are merged into the repo. For static websites where merging into master is the equivalent of publishing the site, this might give me the opportunity to review the built site before it is actually deployed.
Have you tried this pull-request method, or used this kind of technique with an non-Azure DevOps repo? If so, please let me know about it @bsstahl@cognitiveinheritance.com.
Use One Email Alias per Account
Posted by bsstahl on 2015-10-05 and Filed Under: tools
One of the things I do to take better control of my online presence is to use a different email address for every online service that I use. I do this for 3 main reasons:
1. To Reduce Spam
If a single alias starts receiving spam, I have a number of options:
- Since the alias is only used with 1 service, I can create a new alias for that service, update my profile on their website, and delete the old alias
- If I no-longer feel like I need to receive email from that service, I can simply delete the alias.
I can also determine if a company is selling my email address to spammers. If I have to recreate the alias for a single service more that once or twice due to spam, I can probably assume they are selling my address and take the appropriate steps. Finally, since I am using non-standard email addresses (not my name@, or info@, etc) they are harder for spammers to guess and therefore less susceptible to spam.
2. To Help Prevent Companies from Tracking Me Across Sites
One of the ways companies can line-up data about me across multiple services or websites is by my email address. Since many people use the same email address across all services, it can becomes an easy way to be confident that a user of one site, is the same person as the user of another site. It is common today for a single company to have many different brands and properties, and to combine data from all of them (or sell that data to others) in order to learn more about us. As a result, it can be a benefit to our privacy if we use a different email address for each.
That being said, it should be noted that there are a number of other ways companies can track us across sites. To truly do what you can to protect your privacy, there are several other steps you should take to prevent your data from being tracked across sites. Using different email aliases is just one step. Perhaps I will make this the subject of a future post.
3. To Help Protect Me in Case of Data Breach
Perhaps the most important reason for using a different email alias for every service is that eventually, my data at one or more of these services, will be compromised. Like companies who legally have access to my data, hackers can use their illegally obtained data to also try to match-up my accounts across multiple breaches, or across multiple sites. For example, a single data set can provide thousands of email/password combinations that can be tried at common sites like Twitter, or at banking, government and other key service sites. It makes sense that we do everything we reasonably can to protect our own information since we can't assume that the companies holding it will be able to protect it forever.
Pick a Method and Use It
I recommend using Outlook.com to create email aliases since that service allows you to create truly distinct aliases and tie them to the same account. Gmail can also create many aliases per account, but they all start with the same alias and just end with a plus sign and then the unique portion of the alias (i.e. myaccount+Guid1@gmail.com and myaccount+otherstuff@gmail.com both work as aliases for myaccount@gmail.com). This is better than nothing, but this pattern is easily identifiable and can be filtered-out using software.
A good pattern is to use GUIDs as the email addresses. That is, an address like B99C3900-157A-45F7-AD20-67EF83ED6776@outlook.com or B99C3900157A45F7AD2067EF83ED6776@outlook.com will almost always be available and is impossible to guess. If you create a number of such aliases and keep them with you, perhaps in a OneNote notebook, you will have functional email addresses to give whenever you are asked for a new one. Then you just need to associate that alias with the service in your notebook so you know not to use it again, and so you know where each alias was used.
Do you have a recommendation of an email service or alias pattern that has worked well for you? Sound off in the Fediverse using the hashtag #OneAliasPerAccount.
Office Lens–Magic in a Free App
Posted by bsstahl on 2015-09-30 and Filed Under: tools
While I was working on my last post, I experimented with some visualizations that I thought might help make my point a bit more clearly. I didn’t end up using them, but the whiteboard exercise that I went through in developing them helped me organize my thoughts, and, I believe, resulted in a better article.
Once I had drawn-out things the way I wanted them, I did what many people do with a whiteboard, I took a photo of it for my notes. The image above shows what resulted. As you can see, it isn’t a bad rendering, although certainly not perfect. The words and structure are both clearly visible and easily readable, but there is nothing all that impressive about it on its own. After all, there are a number of apps out there which can convert a photo of a whiteboard to a similar image. The part where it becomes interesting is when you see the original source photo, shown below.
You see, I was working on the post from my hotel room, and my “whiteboard” was the hotel window. Despite all of the background clutter, I didn’t have to do anything special to get the whiteboard image. I just did what I always do, open Office Lens, select whiteboard, and take a picture. The app did the rest. Not only that, but it also, once I saved it, automatically uploaded it to my OneNote so that, by the time I got back to my laptop, I already had a synced copy of it in OneNote ready to be dragged into the appropriate notebook. Plus, since my phone is set to sync my photos to OneDrive, I already had a copy of both the original image, and the whiteboard image, in my OneDrive Camera Roll. All of this is configurable of course. If you want, Office Lens will just save the images to your phone. But for me, the OneNote integration is a huge time-saver.
Oh, and by the way, it can also function as a document and business card scanner. Magic!
Office Lens is a free app from Microsoft that is available on all major phone platforms.
OneNote Notebooks remain “Not Connected”
Posted by bsstahl on 2015-04-08 and Filed Under: tools
File this post under saving you some time that I spent worrying.
Recently, I started having problems with my OneNote notebooks not syncing on my primary laptop. Or at least, that’s what it seemed like was happening. I depend a lot on OneNote since I use it for all of my notes, on all of my devices, so this was a very big deal for me. The notebooks all had the little red “not-synced” icon on them, so I would request a manual sync. OneNote went through the process and looked like it was syncing, but at the end, all of the notebooks still had the little red icon on them saying they weren’t current.
The problem turned out to be that I had accidentally changed the radio-button at the top of the sync dialog from “Sync automatically whenever there are changes” to “Work offline - sync only when I click ‘Sync All’”. As a result, the notebooks always looked as if they were not up-to-date (because they might not have been) and were listed as “Not connected”. Of course, if I had looked at the last sync time, I would have seen that all notebooks had been synced as of the last manual sync. Everything was working just fine, I had just changed the setting, making it so my notebooks only synced when I forced it. By changing the radio button setting back to “Sync automatically…”, everything worked as I expected.
Barry S. Stahl (he/him/his) - Barry is a .NET Software Engineer who has been creating business solutions for enterprise customers for more than 35 years. Barry is also an Election Integrity Activist, baseball and hockey fan, husband of one genius and father of another, and a 40 year resident of Phoenix Arizona USA. When Barry is not traveling around the world to speak at Conferences, Code Camps and User Groups or to participate in GiveCamp events, he spends his days as a Solution Architect for Carvana in Tempe AZ and his nights thinking about the next AZGiveCamp event where software creators come together to build websites and apps for some great non-profit organizations.