I wished to share how I take advantage of ChatGPT (and Bard in Google). I discover myself utilizing it day-after-day. I hope you discover a couple of concepts right here which might be useful to you and share again a few of your greatest prompts.
For me, generative AI is like hiring an amazing information scientist and a copywriter…plus having a good friend who is aware of the whole lot!
Total, I take advantage of ChatGPT greater than Bard as I discover it provides higher solutions, summaries of my writing, and so forth. ChatGPT additionally has an ecosystem with 100+ plug-ins constructed round it. I’ve activated Noteable (creates a pocket book of Python code based mostly on statements in English of what I wish to do), and the Wolfram plug-in. ChatGPT is aware of when to move management to the fitting plug-in based mostly on the immediate! For instance, I requested it for the regulation of cosines (gives measures of similarity between vectors) and it went to Wolfram Alpha for that.
Nevertheless, Bard can be very helpful particularly for details that require present data as it’s usually refreshed (e.g. model promoting budgets). I additionally use it for Python code for Colab; since that may be a Google cloud product, I determine it would give me higher solutions there.
The largest methods Generative AI helps me:
Knowledge science: ChatGPT writes code for me in R and Python (and even debugs error messages) which saves me hours. I inform it in English what I would like and it writes code together with what packages should be put in…an actual magic wand. I also can ask it for explanations of math instruments, properties of stat distributions, and even to seek out derivatives.
Copy editor: I are usually too technical in my first draft of any doc. I feed the doc to ChatGPT and ask it to assist me enhance. I ask it what technical phrases want less complicated descriptions…it calls them out and even gives these descriptions. It even created a glossary for me for a technical paper that was 85% there.
Sooner truth discovering than through search: Search provides hyperlinks however generative AI provides solutions! Nevertheless, typically it’s essential to problem the details offered and you’ll sometimes get totally different solutions.
Private pursuits: how one thing works, historic details, decoding medical prognosis phrases, baseball participant efficiency and sabermetrics definitions.
Let me take you thru some current classes.
Media overlaps can contaminate promoting raise research with confounding elements. For instance, you suppose you might be evaluating on-line video publicity to no publicity, however you actually are evaluating on-line video + some portion of show (extremely correlated).
Cross-media attain (i.e. what % of customers see your advert SOMEWHERE) is the same problem however expressed relative to media planning and supply. Identical drawback although…if anyone noticed promoting a technique, what’s the probability they noticed it one other approach too?
For those who can estimate media overlaps, it could be of nice worth.
I got here up with an thought for tackling this drawback by leveraging what a marketer may know…the attain of adverts on every platform individually and the correlations between publicity on the totally different platforms. Then I wished to create a mannequin that might simulate 10,000 digital IDs so I may analyze overlaps.
I requested ChatGPT about Copulas. These are capabilities that comprise the correlational construction of marginal variables that may have utterly totally different distributions. The Copula plus its related marginal distributions provides you the flexibility to simulate digital IDs that ought to comprise the fitting correlation patterns. Not less than, that’s what I wished to check.
Now, that is the place ChatGPT actually helped. I figured there may be a program in R to do what I had in thoughts. I advised ChatGPT what I wished, and it created the code together with what packages I wanted to put in in R. It labored like a allure! Then I simulated 10,000 data from my new perform and analyzed the outcomes. ChatGPT jogged my memory of the code to export the recordsdata as csv recordsdata. In Excel I made up my mind I bought again the fitting correlations and now I used to be in enterprise. My 10,000 digital IDs gave me extremely correct cross-media publicity patterns.
Since this was such a brand new thought, I really debated it with ChatGPT by a collection of prompts and responses that saved constructing on one another. The forwards and backwards actually had the texture of a dialogue with a colleague however finally, I used to be satisfied that I had a legitimate technique.
Explaining this superior strategy to non-technical colleagues was not really easy so after I wrote up the methodology, I requested ChatGPT to simplify my language and make it comprehensible. I requested it for the 5 important concepts. I requested it for a title. All of this labored very nicely.
Now all work and no play isn’t nice so I interspersed some baseball stuff. I requested Bard which Yankees have the very best profession OPS+ (on base proportion + slugging adjusted for year-to-year results.) I bought my reply! (I used to be stunned to see Aaron Choose proper after Mantle however forward of DiMaggio!) Then I used to be on the lookout for a brand new present to binge, so I requested Bard for streaming video reveals that had scores on rotten tomatoes over 90. I bought an amazing checklist! The following day, I bought recipe concepts with Bulgar from ChatGPT.
The one restrict to ChatGPT is your creativeness. One researcher advised me they even used it to create a code construction for open ended responses.
Please share a few of your greatest tales of what labored (or didn’t) with ChatGPT.
