I started by pasting in the fantasy football projects for week one. Mahomes is facing the Lions with a point projection of 22.46 points. This is based on last year’s matchup, but ultimately, this is what FantasyData.com wants to project. Mahomes will be without Travis Kelce, the league’s best Tight End and Patrick’s go-to option. Philadelphia’s Jalen Hurts looks ready to go. He has everything stacked in his favor and is behind Mahomes in the projects with a modest 22.28 points. ChatGPT processed the data that I pasted in and let me know that it understood what I gave it for context.

Next, I am going to try to figure out which way to go. In my guide for using ChatGPT to win fantasy football, I mentioned using any additional context that you can give ChatGPT to help you make a decision. I realized that Hurts was going to play New England, in my backyard, and I know that it is supposed to rain over the weekend.

I found the weather predictions, pasted them into ChatGPT, and asked the AI to help me decide between the QBs with this additional information.

The weather forecast for the Kansas City Chiefs vs. Detroit Lions game on Thursday, September 7, 2023 at 8:20 PM ET is partly cloudy with a low around 63 degrees. The predicted daytime high is 88 degrees, and the nighttime low is 63 degrees. The forecast also calls for a slight chance of showers and thunderstorms after 7 PM. The chance of precipitation is 20%. The winds are predicted to be around 8 mph.

Google Bard about the weather for the Chiefs home opener

The weather forecast for the Philadelphia Eagles and New England Patriots game at Gillette Stadium in Foxborough, MA is mostly cloudy with a high near 80 degrees. There is a 40% chance of precipitation, with a 88% chance of rain and a 53% chance of thunderstorms. The projected daytime rain accumulation is 0.26 inches. The rain is expected to slow down during the first half and dissipate by halftime. The rain is expected to continue throughout the afternoon.

Google Bard about the weather for the New England game

Of course, it was going to be cruddy in New England. As a Pittsburgh Steelers fan, I wouldn’t put it past Bill to have some control over the weather. He had complete control over the Steelers for two decades.

ChatGPT did factor in the weather, but weighted skill and past performance higher. ChatGPT said Mahomes was a lock even without Kelce.

Mahomes seems to have the better weather conditions, which are generally more favorable for a passing game. Hurts is facing potentially trickier weather conditions, although if the ground game becomes more important due to the weather, his rushing ability could be an asset.

ChatGPT assessing Mahomes or Hurts based on weather forecasts

Why Am I Spending So Much Time With ChatGPT and Fantasy Football?

I am using Fantasy Football as a way to learn more about how to leverage ChatGPT and learn as much as I can about its limitations, what’s possible with prompt design, and how data can be used in large-language models. I will get back to blogging about important applications of Generative AI, but feel free to use what I am doing with fantasy football for your hobby. You should be thinking about how to apply this technology to your interests. Let me know what you try and what you learn. Let’s explore this together.

Head over to chat.openai.com, sign in, and select Code Interpreter.

ThingSpeak enables millions of IoT devices to log data to the MathWorks Cloud. The data can be easily exported using MATLAB and ThingSpeak data feed API. ChatGPT Code Interpreter can work with CSV files and ThingSpeak also generates CSV files of data.

Use ChatGPT Code Interpreter to Analyze Traffic Data

One of the most popular IoT projects that we published is the ability to analyze traffic data using a webcam and a Raspberry Pi. We generated an algorithm using Simulink to detect cars and their direction. Simulink exported the car detection model and runs directly on the Raspberry Pi.

The car counter data is being stored in real-time using ThingSpeak Channel #38629. The channel is public so anyone can use the data to learn IoT data analytics. Download the most recent data by clicking “Export recent data” and selecting CSV. This will download a CSV file that we can upload to ChatGPT Code Interpreter.

Now, let’s upload the data to ChatGPT.

Tell ChatGPT that “Field 1 Data is the Density of Westbound Cars and Field 2 Data is the Density of Eastbound Cars”.

Now, you can ask ChatGPT any questions or requests that you have about the IoT using natural language. You can ask it for ideas on how to interpret the data or provide suggestions on visualizations and plots. I asked ChatGPT to provide some interesting visualizations for the east and west traffic. I got back some suggestions.

1. Histograms: These can help to understand the distribution of the traffic densities. We can create separate histograms for eastbound and westbound traffic densities.
2. Box Plots: These can provide statistical insights into the traffic densities. A box plot can show the median, quartiles, and potential outliers in the data.
3. Hourly averages: By grouping the data by hour of the day, we can identify patterns that occur on an hourly basis. For instance, we might find that traffic is consistently higher during certain hours of the day.
4. Day of the week patterns: Similarly, by grouping the data by day of the week, we can identify patterns that occur on specific days. For instance, traffic might be higher on weekdays compared to weekends.

I then asked ChatGPT to compare east and west traffic for the past three hours.

I wasn’t too happy with the plot. So, I asked it to smooth data and use distinctive colors for the lines.

This plot turned out well and I was able to understand the results. Traffic is normally bad in Metro West Boston in the morning then settles down a bit and then spikes around lunch time. You can see the spike if you follow the Westbound Traffic blue line past 11:30. Neat.

Observations

• I have been using ChatGPT Code Interpreter since the alpha version. Right now, you are limited to 25 queries with the GPT-4 model over a three-hour period. It runs out pretty quickly and then you wait for a while to try again.
• Traffic has been extremely high to ChatGPT Code Interpreter so many requests need to be resent.
• Exploring new analytics and visualizations using natural language is a game changer. It is a fun way to learn other ways to explore the data without having to write up bunch of scratch code. It’s nice to try before you commit to writing the code.
• Since this is Generative AI through the ChatGPT interface, the model temperature is set to 1. This is good for creative solutions but not great for reproducibility. I never get the same results following the same process. You must learn to be a little flexible, loosen up your expectations, and learn how to guide ChatGPT Code Interpreter towards the results that your seeking.

Are you exploring ChatGPT Code Interpreter? Share what you have learned on our Discord Server.

“In physical sciences, a nonlinear system is a system in which the output is not directly proportional to the input. Nonlinear problems are of interest to engineers, physicists and mathematicians and many other scientists because most systems are inherently nonlinear in nature. Nonlinear systems may appear chaotic, unpredictable or counterintuitive, contrasting with the much simpler linear systems.”

–Wikipedia

I wondered what the use of the word nonlinear over time was. I found Google Books and they track such things with their Ngram Viewer.

The use of the word nonlinear in books is decidedly nonlinear.