Week 8 4364 Final Week

 Throughout 4364 I have learned many different tools and also have enhanced some of my knowledge and skills on other tools as well. One of the tools I enhanced was my ChatGPT skills. I have used ChatGPT for other BALT courses and a lot of my business classes. What I learned in this class was designing prompts better to tailor answers better for the questions I had. I even had it design a prompt that answered college basketball questions I had as a fan. Another big tool I had learned was enhancing my Python knowledge on Google Colab. I had worked with it in previous classes but definitely learned more things about language modeling and running different codes. I had used Gemini throughout it whenever I got stumped and that really helped me with some of the coding questions I had. These are some of the biggest skills I'll think I will take away from this class and something that I definitely think I will be using in the future. Another big take away I will have from this class and something that I have taken away from all my other BALT classes, and that is how fast Artificial Intelligence is growing. This is growth that needs to be noticed because it is impacting people's lives for the better and the worst. It is changing people's lives for the worst because it is replacing jobs, but it is also creating jobs for people as well. That is why it is so important to have knowledge of AI, having knowledge creates so many different opportunities for different jobs to be had. Overall, these are all the biggest takeaways I have taken away from this BALT class and others as well.

Week 7 4364 Automation of Engineering Roles

 The article posted explains how artificial intelligence is starting to change the jobs of the people who build it. AI tools like AutoML and code assistants are now helping create AI systems, which makes the process quicker and easier. This matters because there aren’t enough AI workers right now, especially in places like the U.S., Europe, and China. Because of this, companies are using these tools to get more done without needing as many people.

Even with more automation, AI jobs are not going away. Instead, they are just changing. Engineers are doing less repetitive work like coding and testing, and more high-level work like designing systems, reviewing results, and making sure AI is used the right way. The job is becoming more about thinking and decision-making instead of just building.

The article also mentions how countries like the U.S. and China are competing in AI. This could impact how fast technology improves and whether countries work together or not. Overall, the main idea is that AI won’t replace engineers, but it will change what they do. People who can mix technical skills with business or real-world knowledge will have the best opportunities going forward.

Week 6 Boston Housing DataSet 4364

I recently worked on the Boston Housing dataset using Google Colab, and it was a good hands-on way to learn machine learning. I used PyTorch to build a simple model that predicts house prices based on different features like number of rooms and location data. I started by loading the dataset, splitting it into training and testing data, and scaling it so the model could learn better. Then I turned the data into tensors, which PyTorch uses to run calculations .

After that, I built a basic neural network with one hidden layer and trained it using a loss function and an optimizer. Over time, the model improved its predictions by lowering the error. At the end, I tested the model to see how well it worked on new data.

I also used Google Gemini to help me understand parts of the code and fix mistakes. It made things easier when I got stuck, but I still had to understand what was going on. Overall, this project helped me better understand how machine learning models are built and trained in a simple way

 

Week 5 Language Modeling 4364

For this exercise, I used Google Colab and uploaded the code to run the language modeling section from Chapter 5. The goal was to help the computer learn patterns in text and understand how language works. When I ran the code, I was able to load the dataset and see rows of data like names, age, gender, and other information. This showed me that my code was working and that the data loaded correctly.

After that, I went through the steps to clean and prepare the data so the model could actually use it. This included organizing the data and making it easier for the computer to understand. Seeing the dataset clearly in Colab helped me understand what the model is working with before it even starts learning.

Overall, this exercise helped me better understand how data is loaded, cleaned, and prepared for AI models. It also gave me a better idea of how language modeling works behind the scenes and how computers can learn patterns in text to do things like predict words or generate sentences.

Week 4 4364 Python Code

 When I used Google Colab, I worked through a simple machine learning example where I built a linear regression model using Python. At first the code looked like a lot, but once I actually ran it step by step, it became way easier to understand.

The code started by importing a few libraries that help with different things. NumPy helps create and handle data, Matplotlib is used for making graphs, and Scikit-learn is what helps build the actual model. Then the code created some fake data to practice with, which made it easier to see how everything works without needing a real dataset.

Next, the data was split into two parts: training and testing. The training data is what the model learns from, and the testing data is used to check how well it actually works. This helped me understand that the model isn’t just memorizing numbers, it’s trying to learn a pattern.

After that, the model was created using linear regression. Basically, it tries to draw the best line through the data points. Once it was trained, it made predictions using the test data, which was cool to see because the model was actually “guessing” values.

At the end, everything was graphed. You could see the real data points and the predicted ones, along with the line the model created. This made it really easy to understand how close the model was to being correct.

Overall, this example helped me get a better understanding of how machine learning works in a simple way. Instead of just reading about it, I actually got to see how a model is built, trained, and tested in real time.

Week 3 4364 Python and Gemini

 In my predictive analytics class, Python has been really helpful for making Excel data easier to understand. Instead of just looking at a spreadsheet, I upload my files into Google Colab and use Python to work with the data. I use tools like pandas to organize everything, and then I make graphs using matplotlib so I can actually see trends. It’s way easier to understand what’s going on when you can see it instead of just reading numbers.

I’ve used this a lot when I need to compare things or look at changes over time. Instead of building charts in Excel, I can write a little bit of code and make cleaner graphs faster. Once you get used to it, it saves time because you can reuse the same code for different assignments.

I also use Google Gemini to help me when I get stuck. If I don’t know how to write something or I get an error, I’ll use it to help fix my code or show me what to do. It’s kind of like having someone help you through it. I still make sure I understand what’s going on, but it definitely makes things quicker and less confusing.

Overall, using Python has made my class a lot easier and more interesting. Turning Excel data into graphs and having help from Gemini makes everything way more manageable.

Week 2 4364

 ChatGPT is a really helpful tool that I use a lot, especially for school, but other tasks as well. It’s kind of like having someone there to help whenever I need it. The chapter talks about how it can answer questions and help with writing, but I mostly use it to understand things better and make my work easier to complete.

I use ChatGPT a lot in my business classes like predictive analytics and strategic management. In analytics, it helps me break down problems and understand what the numbers actually mean in simple terms. Instead of just doing the math, it helps me see what the results are saying. In strategic management, I use it more to help with ideas, like understanding business strategies, analyzing companies, and adding more detail to my answers.

I also use ChatGPT when I get stuck. Instead of just sitting there confused, I ask it to explain things in an easier way or give me real-life examples. I use it for writing too, like turning my ideas into better paragraphs, adding more detail, or making my wording sound smoother.

Another way I use it is to get started on assignments. Sometimes I don’t know how to begin, so I use it to help organize my thoughts or give me a starting point. It makes everything faster and less stressful. Overall, I don’t use ChatGPT to do my work for me, but to help me understand things better and do a better job on my assignments.

Week 1 4364

 Hi, my name is Aidan Werth. I am a business analytics major at the Lisle campus. I am a senior and have concluded my basketball career here about a month ago. This is my 3rd BALT class taken relating to AI, ChatGPT, and dealing with some Python as well. I have taken away many great lessons, but the biggest thing I have learned is how important it is to use AI to your advantage. Companies are implementing AI in many different aspects of how they complete work. The biggest worry is that AI is going to replace many jobs. While this is somewhat true, there is also some falsity to it. AI is replacing some jobs, and it is beneficial to companies because of how efficient and accurate it is. The falsity to it is though that while it is replacing jobs, it is also creating many jobs too. This is why it is so important to have knowledge about AI and learning how to manipulate it and use it your advantage. Overall, I am excited to learn more about AI and tools on how to use it to my advantage.

Week 8 ChatGPT post

 Artificial intelligence is quickly becoming one of the most important technologies in the world. AI is already being used in many different industries, and its influence continues to grow every year. From businesses to schools to everyday life, AI is changing how people work, learn, and solve problems.

One way AI is changing the world is by making work more efficient. Many companies are now using AI tools to complete tasks faster and with fewer mistakes. AI can help analyze data, answer questions, organize information, and automate repetitive tasks. This allows employees to focus more on important work such as problem solving and decision making instead of spending time on routine tasks.

AI is also changing how people learn and find information. Tools like AI chatbots can explain difficult topics, summarize articles, and help people understand new concepts. Students can use AI to study more efficiently, while businesses can use it to improve communication and productivity. Because AI can process large amounts of information quickly, it helps people access knowledge faster than ever before.

Another reason AI is important is because it continues to grow and improve. Many industries are investing heavily in AI technology, which means it will likely become an even bigger part of everyday life in the future. Jobs are also starting to change as companies adopt more automation and AI tools.

Because of this, it is important for people to understand how AI works. Learning about AI helps people use these tools effectively and prepare for how technology will shape the future. Those who understand AI will likely have an advantage in school, business, and many careers.

Overall, AI is transforming the world in many ways. It is improving efficiency, changing how people work and learn, and creating new opportunities across many industries. As AI continues to develop, understanding how it works will become an important skill for everyone.

Week 8

 Throughout this class I have learned many things about artificial intelligence and automation. The one biggest takeaway I have is that AI is just like any new technology. New technologies are beneficial to people and make things more efficient even if that means getting rid of some ways and jobs from the past. The biggest thing I'll take away is that it is so important to have a good understanding of AI because that understanding opens up so many new pathways with the way AI is changing things in the world. While some worry about it replacing jobs, I am going to use it in a way to create opportunities for myself and not let it take away opportunities from me.

I started experimenting with AI by making my own bots. I created a chatbot using Poe and also tried making one in ChatGPT. This helped me understand how AI works and how important it is to give clear instructions. When you build a bot, you have to think about what you want it to talk about and how it should answer questions.

Using these bots has also helped me get things done more efficiently in my daily life. I use AI tools to help with school assignments, writing, and understanding difficult topics. Instead of spending a lot of time searching for information, AI can explain things quickly or summarize readings for me. This helps me finish tasks faster and focus more on learning the material.

Overall, it has so many benefits and I think I have a decent understanding of its capabilities and how I can use it in my own life for my own benefit.

Week 7 GPT Post

 Creating your own bots in ChatGPT can be very useful and is easier than many people think. A custom bot is an AI tool that you design to focus on a specific topic or task. Instead of using a general chatbot for everything, you can build a bot that is trained to help with exactly what you need.

One major advantage of making your own bot is that it can save a lot of time. When you create a bot with clear instructions, it already understands the type of information you want. For example, someone could make a bot that helps with homework, business strategy, sports statistics, or writing tasks. This allows users to get more direct answers without needing to explain the same instructions every time.

Another advantage is customization. When you build a bot, you control how it responds and what topics it focuses on. You can decide whether the bot gives short answers, detailed explanations, or step-by-step help. Because of this, the bot can be designed for a specific purpose, such as helping students understand finance concepts or analyzing basketball statistics.

Creating your own bot can also help you better understand how artificial intelligence works. While building the bot, you learn how instructions and prompts influence the responses the AI generates. This helps people become better at using AI tools in school, business, and everyday tasks.

Overall, building your own bots in ChatGPT is a valuable skill. It allows you to create tools that are tailored to your needs, improve efficiency, and make it easier to find useful information. As AI technology continues to grow, the ability to design and use custom bots will likely become an important skill in many fields.

Week 7

 I play college basketball, so the sport is a big part of my life. Because of that, I thought it would be cool to make a chatbot about basketball. I wanted to create something that could answer questions about the game and help people learn more about basketball.

The bot I made can answer questions about players, teams, and basic basketball topics. Someone could ask it about player stats, how a team is doing, or what certain basketball terms mean. The goal was to keep the answers simple so anyone could understand them.

Making the bot was easier than I expected. I just had to give it instructions about what it should talk about and how it should respond. I also made sure it explained things in a simple way so the answers were clear and easy to read.

Overall, making the basketball bot was a fun experience. It showed me how AI can be used to create tools around things people enjoy, like sports. Since basketball is something I care about, it made the project even more interesting. In the future, I would like to add more features to the bot, like better player analysis and game predictions.

Week 6 ChatGPT on Poe

 Poe is an AI platform that lets people talk to different AI models and even create their own chatbots. One of the biggest perks of Poe is that it gives users access to multiple AI tools in one place. Instead of needing several different apps, Poe allows you to switch between different AI models depending on what you need help with.

Another benefit of Poe is the ability to create custom chatbots. Users can design bots with their own instructions and choose how they want the bot to respond. This makes it useful for things like studying, writing help, or even just creating fun bots to talk with.

Poe also makes it easy to test and improve the bots you create. If the chatbot is not responding the way you want, you can go back and adjust the instructions. This allows users to experiment and learn how to make their bots better over time.

Another perk of Poe is that it is very user friendly. The platform is simple to navigate, so even people who do not have much experience with AI can still use it. This makes it a good place for beginners who want to learn about chatbots and artificial intelligence without needing to know how to code.

Poe can also be helpful for everyday tasks. People can use it to get help with homework, generate writing ideas, answer questions, or learn about new topics. Overall, Poe has several useful perks for people interested in AI and makes it easy for anyone to start exploring what AI tools can do.