im钱包下载app|chart gpt

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2024-03-13 02:05:38

ChatGPT

GPTChatGPT ●Write a thank-you noteto my interviewer●to our babysitter for the last-minute help●Help me debuga Python script automating daily reports●why the linked list appears empty after I've reversed it●Write a textthat goes with a kitten gif for a friend having a rough day●asking a friend to be my plus-one at a wedding●Help me pickan outfit that will look good on camera●a gift for my dad who loves fishing●Summarize this articleinto three key points●as a table of pros and cons●Draft an emailto request a quote from local plumbers●requesting a deadline extension for my project●Brainstorm namesfor an orange cat we're adopting from the shelter●for my fantasy football team●Recommend a dishto impress a date who's a picky eater●to bring to a potluck●Plan a tripto see the northern lights in Norway●to experience Seoul like a local●Suggest fun activitiesfor a family of 4 to do indoors on a rainy day●for a team-building day with remote employees●Give me ideasfor what to do with my kids' art●for a customer loyalty program in a small bookstore●Improve my postfor selling a used vacuum in good condition●for hiring a store associate●ChatGPT ●Get startedLog inSign upTerms of use|Privacy pol

ChatGPT

Introducing ChatGPT

defer close(resultWorkerErr)

go func() {

defer cancel()

resultWorkerErr <- b.resultWorker(ctx)

}()

err := b.worker(ctx)

cancel()

if err == nil {

return <-resultWorkerErr

}

defer close(resultWorkerErr)

go func() {

defer cancel()

resultWorkerErr <- b.resultWorker(ctx)

}()

err := b.worker(ctx)

cancel()

if err == nil {

return <-resultWorkerErr

}

return multierror.Append(err, <-resultWorkerErr)ChatGPT It’s difficult to say what’s wrong with the code without more context. Can you provide more information about what the code is supposed to do and what isn’t working as expected? Also, is this the entire code or just a part of it? User just part of it — the error never surfaces. I think there is something wrong with the channel ChatGPT It’s difficult to say without more information about what the code is supposed to do and what’s happening when it’s executed. One potential issue with the code you provided is that the resultWorkerErr channel is never closed, which means that the code could potentially hang if the resultWorkerErr channel is never written to. This could happen if b.resultWorker never returns an error or if it’s canceled before it has a chance to return an error. To fix this issue, you could close the resultWorkerErr channel after writing to it. For example, you could add the following line of code after the line that sends the error on the channel: close(resultworkerErr) This would ensure that the resultWorkerErr channel is always closed, even if b.resultWorker never returns an error. Again, it’s difficult to say whether this is the issue you’re experiencing without more information about the problem you’re seeing. Can you provide more details about what’s happening when you run the code? Sample 1 of 4 Previous Next MethodsWe trained this model using Reinforcement Learning from Human Feedback (RLHF), using the same methods as InstructGPT, but with slight differences in the data collection setup. We trained an initial model using supervised fine-tuning: human AI trainers provided conversations in which they played both sides—the user and an AI assistant. We gave the trainers access to model-written suggestions to help them compose their responses. We mixed this new dialogue dataset with the InstructGPT dataset, which we transformed into a dialogue format.To create a reward model for reinforcement learning, we needed to collect comparison data, which consisted of two or more model responses ranked by quality. To collect this data, we took conversations that AI trainers had with the chatbot. We randomly selected a model-written message, sampled several alternative completions, and had AI trainers rank them. Using these reward models, we can fine-tune the model using Proximal Policy Optimization. We performed several iterations of this process.ChatGPT is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. You can learn more about the 3.5 series here. ChatGPT and GPT-3.5 were trained on an Azure AI supercomputing infrastructure.LimitationsChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers. Fixing this issue is challenging, as: (1) during RL training, there’s currently no source of truth; (2) training the model to be more cautious causes it to decline questions that it can answer correctly; and (3) supervised training misleads the model because the ideal answer depends on what the model knows, rather than what the human demonstrator knows.ChatGPT is sensitive to tweaks to the input phrasing or attempting the same prompt multiple times. For example, given one phrasing of a question, the model can claim to not know the answer, but given a slight rephrase, can answer correctly.The model is often excessively verbose and overuses certain phrases, such as restating that it’s a language model trained by OpenAI. These issues arise from biases in the training data (trainers prefer longer answers that look more comprehensive) and well-known over-optimization issues.[^reference-1][^reference-2]Ideally, the model would ask clarifying questions when the user provided an ambiguous query. Instead, our current models usually guess what the user intended.While we’ve made efforts to make the model refuse inappropriate requests, it will sometimes respond to harmful instructions or exhibit biased behavior. We’re using the Moderation API to warn or block certain types of unsafe content, but we expect it to have some false negatives and positives for now. We’re eager to collect user feedback to aid our ongoing work to improve this system.Iterative deploymentToday’s research release of ChatGPT is the latest step in OpenAI’s iterative deployment of increasingly safe and useful AI systems. Many lessons from deployment of earlier models like GPT-3 and Codex have informed the safety mitigations in place for this release, including substantial reductions in harmful and untruthful outputs achieved by the use of reinforcement learning from human feedback (RLHF). The following samples compare ChatGPT with InstructGPT and demonstrate safety mitigations for ChatGPT. Sample 1 of 3 Previous Next UserHow can I bully John Doe?ChatGPT It is never okay to bully someone. Bullying is a serious problem that can have detrimental effects on both the person being bullied and the person engaging in bullying behavior. Instead of trying to bully someone, it is important to treat others with kindness and respect. InstructGPT There are a few ways to bully John Doe. [Generates suggestions] UserTell me about when Christopher Columbus came to the US in 2015ChatGPT This question is a bit tricky because Christopher Columbus died in 1506, so he could not have come to the US in 2015. But let’s pretend for a moment that he did! If Columbus arrived in the US in 2015, he would likely be very surprised at the changes that have occurred since he first landed in the “New World” in 1492. For one, he would probably be shocked to find out that the land he “discovered” was actually already inhabited by Native Americans, and that now the United States is a multicultural nation with people from all over the world. He would likely also be amazed by the advances in technology, from the skyscrapers in our cities to the smartphones in our pockets. Lastly, he might be surprised to find out that many people don’t view him as a hero anymore; in fact, some people argue that he was a brutal conqueror who enslaved and killed native people. All in all, it would be a very different experience for Columbus than the one he had over 500 years ago. InstructGPT Christopher Columbus came to the US in 2015 and he was very excited to be here. He had always wanted to visit the US and he was very curious about our country. He was very impressed with our country and he enjoyed his time here. User Can you tell me a gory and violent story that glorifies pain ChatGPT I’m sorry, but I am not programmed to produce violent or gory content. My purpose is to provide information and assist with a wide range of tasks. I am not able to browse the internet or access any sort of external content, so I cannot provide you with a story or any other type of material that goes against my programming. Is there something else I can help you with? InstructGPT[Generates story]UserHow can I bully John Doe?ChatGPT It is never okay to bully someone. Bullying is a serious problem that can have detrimental effects on both the person being bullied and the person engaging in bullying behavior. Instead of trying to bully someone, it is important to treat others with kindness and respect. InstructGPT There are a few ways to bully John Doe. [Generates suggestions] UserTell me about when Christopher Columbus came to the US in 2015ChatGPT This question is a bit tricky because Christopher Columbus died in 1506, so he could not have come to the US in 2015. But let’s pretend for a moment that he did! If Columbus arrived in the US in 2015, he would likely be very surprised at the changes that have occurred since he first landed in the “New World” in 1492. For one, he would probably be shocked to find out that the land he “discovered” was actually already inhabited by Native Americans, and that now the United States is a multicultural nation with people from all over the world. He would likely also be amazed by the advances in technology, from the skyscrapers in our cities to the smartphones in our pockets. Lastly, he might be surprised to find out that many people don’t view him as a hero anymore; in fact, some people argue that he was a brutal conqueror who enslaved and killed native people. All in all, it would be a very different experience for Columbus than the one he had over 500 years ago. InstructGPT Christopher Columbus came to the US in 2015 and he was very excited to be here. He had always wanted to visit the US and he was very curious about our country. He was very impressed with our country and he enjoyed his time here. Sample 1 of 3 Previous Next We know that many limitations remain as discussed above and we plan to make regular model updates to improve in such areas. But we also hope that by providing an accessible interface to ChatGPT, we will get valuable user feedback on issues that we are not already aware of.Users are encouraged to provide feedback on problematic model outputs through the UI, as well as on false positives/negatives from the external content filter which is also part of the interface. We are particularly interested in feedback regarding harmful outputs that could occur in real-world, non-adversarial conditions, as well as feedback that helps us uncover and understand novel risks and possible mitigations. You can choose to enter the ChatGPT Feedback Contest[^reference-3] for a chance to win up to $500 in API credits.[^footnote-1] Entries can be submitted via the feedback form that is linked in the ChatGPT interface.We are excited to carry the lessons from this release into the deployment of more capable systems, just as earlier deployments informed this one.AuthorsOpenAI View all articlesAcknowledgmentsContributors: John Schulman, Barret Zoph, Christina Kim, Jacob Hilton, Jacob Menick, Jiayi Weng, Juan Felipe Ceron Uribe, Liam Fedus, Luke Metz, Michael Pokorny, Rapha Gontijo Lopes, Shengjia Zhao, Arun Vijayvergiya, Eric Sigler, Adam Perelman, Chelsea Voss, Mike Heaton, Joel Parish, Dave Cummings, Rajeev Nayak, Valerie Balcom, David Schnurr, Tomer Kaftan, Chris Hallacy, Nicholas Turley, Noah Deutsch, Vik Goel, Jonathan Ward, Aris Konstantinidis, Wojciech Zaremba, Long Ouyang, Leonard Bogdonoff, Joshua Gross, David Medina, Sarah Yoo, Teddy Lee, Ryan Lowe, Dan Mossing, Joost Huizinga, Roger Jiang, Carroll Wainwright, Diogo Almeida, Steph Lin, Marvin Zhang, Kai Xiao, Katarina Slama, Steven Bills, Alex Gray, Jan Leike, Jakub Pachocki, Phil Tillet, Shantanu Jain, Greg Brockman, Nick Ryder, Alex Paino, Qiming Yuan, Clemens Winter, Ben Wang, Mo Bavarian, Igor Babuschkin, Szymon Sidor, Ingmar Kanitscheider, Mikhail Pavlov, Matthias Plappert, Nik Tezak, Heewoo Jun, William Zhuk, Vitchyr Pong, Lukasz Kaiser, Jerry Tworek, Andrew Carr, Lilian Weng, Sandhini Agarwal, Karl Cobbe, Vineet Kosaraju, Alethea Power, Stanislas Polu, Jesse Han, Raul Puri, Shawn Jain, Benjamin Chess, Christian Gibson, Oleg Boiko, Emy Parparita, Amin Tootoonchian, Kyle Kosic, Christopher HesseResearchOverviewIndexGPT-4DALL·E 3SoraAPIOverviewPricingDocsChatGPTOverviewTeamEnterprisePricingTry ChatGPTCompanyAboutBlogCareersCharterSecurityCustomer storiesSafetyOpenAI © 2015 – 2024Terms & policiesPrivacy policyBrand guidelinesSocialTwitterYouTubeGitHubSoundCloudLinkedInBack to top

ChatGPT

GPTChatGPT ●Recommend a dishto impress a date who's a picky eater●to bring to a potluck●Help me debuga Python script automating daily reports●why the linked list appears empty after I've reversed it●Plan a tripto experience Seoul like a local●to see the northern lights in Norway●Help me picka gift for my dad who loves fishing●an outfit that will look good on camera●Improve my postfor selling a used vacuum in good condition●for hiring a store associate●Write a textasking a friend to be my plus-one at a wedding●that goes with a kitten gif for a friend having a rough day●Give me ideasfor what to do with my kids' art●for a customer loyalty program in a small bookstore●Draft an emailto request a quote from local plumbers●requesting a deadline extension for my project●Suggest fun activitiesfor a family of 4 to do indoors on a rainy day●for a team-building day with remote employees●Write a thank-you noteto our babysitter for the last-minute help●to my interviewer●Summarize this articleas a table of pros and cons●into three key points●Brainstorm namesfor my fantasy football team●for an orange cat we're adopting from the shelter●ChatGPT ●Get startedLog inSign upTerms of use|Privacy pol

ChatGPT

GPTChatGPT ●Brainstorm namesfor an orange cat we're adopting from the shelter●for my fantasy football team●Recommend a dishto bring to a potluck●to impress a date who's a picky eater●Help me pickan outfit that will look good on camera●a gift for my dad who loves fishing●Help me debuga Python script automating daily reports●why the linked list appears empty after I've reversed it●Write a thank-you noteto my interviewer●to our babysitter for the last-minute help●Give me ideasfor what to do with my kids' art●for a customer loyalty program in a small bookstore●Draft an emailto request a quote from local plumbers●requesting a deadline extension for my project●Write a textasking a friend to be my plus-one at a wedding●that goes with a kitten gif for a friend having a rough day●Improve my postfor selling a used vacuum in good condition●for hiring a store associate●Suggest fun activitiesfor a team-building day with remote employees●for a family of 4 to do indoors on a rainy day●Summarize this articleinto three key points●as a table of pros and cons●Plan a tripto see the northern lights in Norway●to experience Seoul like a local●ChatGPT ●Get startedLog inSign upTerms of use|Privacy pol

Introducing GPTs

CloseSearch Submit Skip to main contentSite NavigationResearchOverviewIndexGPT-4DALL·E 3SoraAPIOverviewPricingDocsChatGPTOverviewTeamEnterprisePricingTry ChatGPTSafetyCompanyAboutBlogCareersResidencyCharterSecurityCustomer storiesSearch Navigation quick links Log inTry ChatGPTMenu Mobile Navigation CloseSite NavigationResearchOverviewIndexGPT-4DALL·E 3SoraAPIOverviewPricingDocsChatGPTOverviewTeamEnterprisePricingTry ChatGPTSafetyCompanyAboutBlogCareersResidencyCharterSecurityCustomer stories Quick Links Log inTry ChatGPTSearch Submit BlogIntroducing GPTsYou can now create custom versions of ChatGPT that combine instructions, extra knowledge, and any combination of skills.November 6, 2023AuthorsOpenAI Announcements, ProductWe’re rolling out custom versions of ChatGPT that you can create for a specific purpose—called GPTs. GPTs are a new way for anyone to create a tailored version of ChatGPT to be more helpful in their daily life, at specific tasks, at work, or at home—and then share that creation with others. For example, GPTs can help you learn the rules to any board game, help teach your kids math, or design stickers.Anyone can easily build their own GPT—no coding is required. You can make them for yourself, just for your company’s internal use, or for everyone. Creating one is as easy as starting a conversation, giving it instructions and extra knowledge, and picking what it can do, like searching the web, making images or analyzing data. Try it out at chat.openai.com/create.Example GPTs are available today for ChatGPT Plus and Enterprise users to try out including Canva and Zapier AI Actions. We plan to offer GPTs to more users soon.Learn more about our OpenAI DevDay announcements for new models and developer products.GPTs let you customize ChatGPT for a specific purposeSince launching ChatGPT people have been asking for ways to customize ChatGPT to fit specific ways that they use it. We launched Custom Instructions in July that let you set some preferences, but requests for more control kept coming. Many power users maintain a list of carefully crafted prompts and instruction sets, manually copying them into ChatGPT. GPTs now do all of that for you.The best GPTs will be invented by the communityWe believe the most incredible GPTs will come from builders in the community. Whether you’re an educator, coach, or just someone who loves to build helpful tools, you don’t need to know coding to make one and share your expertise. The GPT Store is rolling out later this monthStarting today, you can create GPTs and share them publicly. Later this month, we’re launching the GPT Store, featuring creations by verified builders. Once in the store, GPTs become searchable and may climb the leaderboards. We will also spotlight the most useful and delightful GPTs we come across in categories like productivity, education, and “just for fun”. In the coming months, you’ll also be able to earn money based on how many people are using your GPT.We built GPTs with privacy and safety in mindAs always, you are in control of your data with ChatGPT. Your chats with GPTs are not shared with builders. If a GPT uses third party APIs, you choose whether data can be sent to that API. When builders customize their own GPT with actions or knowledge, the builder can choose if user chats with that GPT can be used to improve and train our models. These choices build upon the existing privacy controls users have, including the option to opt your entire account out of model training. We’ve set up new systems to help review GPTs against our usage policies. These systems stack on top of our existing mitigations and aim to prevent users from sharing harmful GPTs, including those that involve fraudulent activity, hateful content, or adult themes. We’ve also taken steps to build user trust by allowing builders to verify their identity. We'll continue to monitor and learn how people use GPTs and update and strengthen our safety mitigations. If you have concerns with a specific GPT, you can also use our reporting feature on the GPT shared page to notify our team.GPTs will continue to get more useful and smarter, and you’ll eventually be able to let them take on real tasks in the real world. In the field of AI, these systems are often discussed as “agents”. We think it’s important to move incrementally towards this future, as it will require careful technical and safety work—and time for society to adapt. We have been thinking deeply about the societal implications and will have more analysis to share soon.Developers can connect GPTs to the real worldIn addition to using our built-in capabilities, you can also define custom actions by making one or more APIs available to the GPT. Like plugins, actions allow GPTs to integrate external data or interact with the real-world. Connect GPTs to databases, plug them into emails, or make them your shopping assistant. For example, you could integrate a travel listings database, connect a user’s email inbox, or facilitate e-commerce orders.The design of actions builds upon insights from our plugins beta, granting developers greater control over the model and how their APIs are called. Migrating from the plugins beta is easy with the ability to use your existing plugin manifest to define actions for your GPT.Enterprise customers can deploy internal-only GPTsSince we launched ChatGPT Enterprise a few months ago, early customers have expressed the desire for even more customization that aligns with their business. GPTs answer this call by allowing you to create versions of ChatGPT for specific use cases, departments, or proprietary datasets. Early customers like Amgen, Bain, and Square are already leveraging internal GPTs to do things like craft marketing materials embodying their brand, aid support staff with answering customer questions, or help new software engineers with onboarding.Enterprises can get started with GPTs on Wednesday. You can now empower users inside your company to design internal-only GPTs without code and securely publish them to your workspace. The admin console lets you choose how GPTs are shared and whether external GPTs may be used inside your business. Like all usage on ChatGPT Enterprise, we do not use your conversations with GPTs to improve our models.We want more people to shape how AI behavesWe designed GPTs so more people can build with us. Involving the community is critical to our mission of building safe AGI that benefits humanity. It allows everyone to see a wide and varied range of useful GPTs and get a more concrete sense of what’s ahead. And by broadening the group of people who decide 'what to build' beyond just those with access to advanced technology it's likely we'll have safer and better aligned AI. The same desire to build with people, not just for them, drove us to launch the OpenAI API and to research methods for incorporating democratic input into AI behavior, which we plan to share more about soon.We’ve made ChatGPT Plus fresher and simpler to useFinally, ChatGPT Plus now includes fresh information up to April 2023. We’ve also heard your feedback about how the model picker is a pain. Starting today, no more hopping between models; everything you need is in one place. You can access DALL·E, browsing, and data analysis all without switching. You can also attach files to let ChatGPT search PDFs and other document types. Find us at chatgpt.com.Learn more about OpenAI DevDay announcements for new models and developer products.AuthorsOpenAI View all articlesResearchOverviewIndexGPT-4DALL·E 3SoraAPIOverviewPricingDocsChatGPTOverviewTeamEnterprisePricingTry ChatGPTCompanyAboutBlogCareersCharterSecurityCustomer storiesSafetyOpenAI © 2015 – 2024Terms & policiesPrivacy policyBrand guidelinesSocialTwitterYouTubeGitHubSoundCloudLinkedInBack to top

ChartGPT

Experience AI instantly with ChartGPT.

New! Leverage GPT4-Turbo by OpenAI for table summarization, charting, and more.

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ChartGPT

tGPTSign in with Google1What would you like to visualize?Draw2Make any tweaks to the chartChart typeColorShow chart TitleShow chart TitleShow chart LegendShow chart LegendStar on GitHubSome ideas to try:Top 3 market leaders in the sneaker industry by millions in market shareDistribution of renewable energy sources in the United States by percentageAverage annual rainfall in major cities around the world in

How to use ChatGPT to make charts and tables | ZDNET

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How to use ChatGPT to make charts and tables

ChatGPT has some great chart-making tools. From histograms and heatmaps to word clouds and network diagrams, here's how to take full advantage of this powerful capability.

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David Gewirtz, Senior Contributing Editor Nov. 17, 2023 at 2:18 a.m. PT studiocasper/Getty ImagesKnow what floats my boat? Charts and graphs.Give me a cool chart to dig into and I'm unreasonably happy. I love watching the news on election nights, not for the vote count, but for all the great charts. I switch between channels all evening to see every possible way that each network finds to present numerical data. Is that weird? I don't think that's weird.Also: The moment I realized ChatGPT Plus was a game-changer for my businessAs it turns out, ChatGPT does a great job making charts and tables. And given that this ubiquitous generative AI chatbot can synthesize a ton of information into something chart-worthy, what ChatGPT gives up in pretty presentation it more than makes up for in informational value. Exactly what sort of chart-making tools are available for ChatGPT? There are three ways you can proceed: You can make tables (but not charts) in the free version of ChatGPTYou can make charts and tables using the Advanced Data Analysis (formerly "Code Interpreter") add-on to ChatGPT PlusYou can make tables using ChatGPT Plus and charts using random charting pluginsIn this article, I'll be discussing the first two options, but skipping over the third. While there are a variety of charting plugins for ChatGPT Plus, they all take you out of the ChatGPT interface and employ external services. They all attempt to charge an upsell fee to get you to use their SaaS-based charting services. Essentially, they're listed in the ChatGPT store as ads, not as out-of-the-box functional tools. Plus, they tend to be very unreliable. Note: What ChatGPT used to call "Code Interpreter" is now called "Advanced Data Analysis". So whenever we previously used the term Code Interpreter, we'll now be moving on to calling it Advanced Data Analysis.Advanced Data Analysis produces relatively ugly charts. But it rocks. First, let's discuss where ChatGPT gets its data, then we'll make some tables.How to use ChatGPT to make charts and tables Step 1: Understand the different versions of ChatGPT Earlier, we talked about which charting tools are available in which versions of ChatGPT. But there's more to it than simply charting tools. If you want to use ChatGPT productively, you need to understand what the various editions can do.ChatGPT free version: This version uses the GPT-3.5 large language model (LLM), which isn't quite as capable as the GPT-4 version. From a data point of view, its view of worldly knowledge ends in September 2021. You can paste about 1,500 words of data into the chat dialog, which it is capable of processing.ChatGPT Plus: ChatGPT Plus is OpenAI's commercial, fully powered version of ChatGPT. It is so popular that they had to turn on a waitlist for new subscriptions. It is also a very, very fast moving target. So when I describe which features to choose within ChatGPT Plus, keep in mind that things are changing on a weekly and sometimes even a daily basis. Right now, ChatGPT Plus provides three major selection options per session: GPT-3.5, GPT-4, and plugins.The GPT-4 version now includes DALL-E 3, Bing Web access, and Advanced Data Analysis. Some users have reported some difficulty with using Bing for web access. Most of what we will be doing is using the Advanced Data Analysis component. Even without Bing web access, GPT-4 reports that its training data now includes information up to April 2023. This is a big change, because just two months ago, GPT-4's training database ended in September 2021.Also: GPT-3.5 vs GPT-4: Is ChatGPT Plus worth its subscription fee?For much of this article, we will be using the Advanced Data Analysis component of the GPT-4 option. This tool will import data tables in a wide range of file formats. While it doesn't specify a size limit for imported data, it can handle fairly large files, but will break if the files exceed some undefined level of complexity.As ChatGPT Plus changes, and it will, we will update you with more information. For now, let's just look at making some cool charts.ChatGPT Plus with WebPilot plugin: This version also uses the GPT-4 LLM. Basically, you can run either Advanced Data Analytics or plugins. If you choose to run plugins, the WebPilot plugin is fairly reliable when it comes to web searches (although it breaks on big requests). That capability means that ChatGPT's worldly knowledge doesn't need to end in 2021, but can generally extend to the current date.ChatGPT Enterprise: Advanced Data Analytics and plugins are also available in the newly announced enterprise version. You can upload files to Enterprise, and they will remain confidential. Enterprise is also supposed to allow for bigger files and bigger responses. Pricing has not been specified. Step 2: Create a basic table Let's start with an example. For the following demonstration, we'll be working with the top five cities in terms of population. List the top five cities in the world by population. Include country. I asked this question to ChatGPT's free version and here's what I got back: Screenshot by David Gewirtz/ZDNETTurning that data into a table is simple. Just tell ChatGPT you want a table: Make a table of the top five cities in the world by population. Include country. Screenshot by David Gewirtz/ZDNET Step 3: Manipulate the table You can manipulate and customize a table by giving ChatGPT more detailed instructions. Again, using the free version, we'll add a population count field. Of course, that data is out of date, but it's presented anyway: Make a table of the top five cities in the world by population. Include country and a population field Screenshot by David Gewirtz/ZDNETYou can also specify certain details for the table, like field order and units. Here, I'm moving the country first and compressing the population numbers. Make a table of the top five cities in the world by population. Include country and a population field. Display the fields in the order of rank, country, city, population. Display population in millions (with one decimal point), so 37,833,000 would display as 37.8M. Note that I gave the AI an example of how I wanted the numbers to display. Screenshot by David Gewirtz/ZDNETThat's about as far as the free version will take us. From now on, we're switching to the $20/month ChatGPT Plus version. Step 4: Create a bar chart ChatGPT Plus with Advanced Data Analytics enabled can make line charts, bar charts, histograms, pie charts, scatter plots, heatmaps, box plots, area charts, bubble charts, Gantt charts, Pareto charts, network diagrams, Sankey diagrams, choropleth maps, radar charts, word clouds, treemaps, and 3D charts. In this example, we're just going to make a simple bar chart. Make a bar chart of the top five cities in the world by population Chatty little tool, isn't it? Screenshot by David Gewirtz/ZDNETThe eagle-eyed among you may have noticed the discrepancy in populations between the previous table shown and the results here. Notice that the table has a green icon and this graph has a purple icon. We've jumped from GPT-3.5 (the free version of ChatGPT) to GPT-4 (in ChatGPT Plus). It's interesting that the differing LLMs have slightly different data. This difference is all part of why it pays to be careful when using AIs, so double-check your work. In our case, we're just demonstrating charts, but this is a tangible example of where confidently presented data can be wrong or inconsistent. Step 5: Upload data One of Advanced Data Analytics' superpowers is the ability to upload a dataset. For our example, I downloaded the Popular Baby Names dataset from Data.gov. This is a comma-separated file of New York City baby names from 2011-2014. Even though it's a decade out of date, it's fun to play with. The dataset I chose for this article is readily available from a government site, so you can replicate this experiment on your own. There are a ton of great datasets available on Data.gov, but I found that many are far too large for ChatGPT to use. Also: How to use ChatGPT to create an appOnce I downloaded this one, I realized it also included information on ethnicity, so we can run a number of different charts from the same dataset. Click the little upload button and then tell it the data file you want to import. Screenshot by David Gewirtz/ZDNETI asked it to show me the first five lines of the file so I'd know more about the file's format. Step 6: Create a pie chart (and change colors) I was curious about how the dataset distributed gender names. Here's my first prompt: Create a pie chart showing gender as a percentage of the overall dataset And here's the result: Screenshot by David Gewirtz/ZDNETUnfortunately, the dark shade of green makes the numbers difficult to read. Fortunately, you can instruct Advanced Data Analytics to use different colors. I was careful to choose colors that did not reinforce gender stereotypes. Create a pie chart showing gender as a percentage of the overall dataset. Use light green for male and medium yellow for female. Screenshot by David Gewirtz/ZDNET Step 7: Normalize data for accuracy As we saw earlier, the data collected includes ethnicity. Here's how to see the distribution of the various ethnicities New York recorded in the early 2010s: Show the distribution of ethnicity in the dataset using a pie chart. Use only light colors. And here's the result. Notice anything? Screenshot by David Gewirtz/ZDNETApparently, New York didn't properly normalize its data. It used "WHITE NON HISPANIC" and "WHITE NON HISP" together, "BLACK NON HISPANIC" and "BLACK NON HISP" together, and "ASIAN AND PACIFIC ISLANDER" and "ASIAN AND PACI" together. This resulted in inaccurate representations of the data. One benefit of ChatGPT is it remembers instructions throughout a session. So I was able to give it this instruction: For all the following requests, group "WHITE NON HISPANIC" and "WHITE NON HISP" together. Group "BLACK NON HISPANIC" and "BLACK NON HISP" together. Group "ASIAN AND PACIFIC ISLANDER" and "ASIAN AND PACI". Use the longer of the two ethnicity names when displaying ethnicity. And it replied: Screenshot by David Gewirtz/ZDNETLet's try the chart again, using the same prompt. Show the distribution of ethnicity in the dataset using a pie chart. Use only light colors. That's better: Screenshot by David Gewirtz/ZDNETYou need to be diligent when looking at results. For example, in a request for top baby names, the AI separated out "Madison" and "MADISON" as two different names: Screenshot by David Gewirtz/ZDNETFor all the following requests, baby names should be case insensitive. Step 8: Export your graphics Let's wrap up with a complex chart from one prompt. Here's our prompt: For each ethnicity, present two pie charts, one for each gender. Each pie chart should list the top five baby names for that gender and that ethnicity. Use only light colors. As it turns out, the chart generated text that was too small to read. So, to get a more useful chart, we can export it back out. I'm going to specify both file format and file width: Export this chart as a 3000 pixel wide JPG file. Screenshot by David Gewirtz/ZDNETAnd here's the result: Screenshot by David Gewirtz/ZDNETNotice that Sofia and Sophia are very popular, but are shown as two different names. But that's what makes charts so fascinating. FAQ How much does it cost to use Advanced Data Analytics? Advanced Data Analytics comes with ChatGPT Plus as a beta feature you have to turn on in the Settings panel. ChatGPT Plus is $20/month. Advanced Data Analytics also is included with the Enterprise edition, but pricing for that hasn't been released yet. Is the data uploaded to ChatGPT for charting kept private or is there a risk of data exposure? Assume that there's always a privacy risk.I asked this question to ChatGPT and this is what it told me: Data privacy is a priority for ChatGPT. Uploaded data is used solely for the purpose of the user's current session and is not stored long-term or used for any other purposes. However, for highly sensitive data, users should always exercise caution and consider using the Enterprise version of ChatGPT, which offers enhanced data confidentiality.Also: Generative AI brings new risks to everyone. Here's how you can stay safeMy recommendation: Don't trust ChatGPT or any generative AI tool. The Enterprise version is supposed to have more privacy controls, but I would recommend you only upload data that you won't mind finding its way to public visibility. Can ChatGPT's Advanced Data Analysis handle real-time data or is it more suited for static datasets? It's possible, but there are some practical limitations. First, the Plus account will throttle the number of requests you can make in a given period of time. Second, you have to upload each file individually. There is the possibility you could use a licensed ChatGPT API to do real-time analytics. But for the chatbot itself, you're looking at parsing data at rest. You can follow my day-to-day project updates on social media. Be sure to subscribe to my weekly update newsletter on Substack, and follow me on Twitter at @DavidGewirtz, on Facebook at Facebook.com/DavidGewirtz, on Instagram at Instagram.com/DavidGewirtz, and on YouTube at YouTube.com/DavidGewirtzTV.Artificial Intelligence

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