I wished to share how I exploit ChatGPT (and Bard in Google). I discover myself utilizing it day by day. I hope you discover just a few concepts right here which are useful to you and share again a few of your finest prompts.
For me, generative AI is like hiring a terrific information scientist and a copywriter…plus having a buddy who is aware of the whole lot!
General, I exploit ChatGPT greater than Bard as I discover it provides higher solutions, summaries of my writing, and so on. ChatGPT additionally has an ecosystem with 100+ plug-ins constructed round it. I’ve activated Noteable (creates a pocket book of Python code primarily based on statements in English of what I need to do), and the Wolfram plug-in. ChatGPT is aware of when to cross management to the proper plug-in primarily based on the immediate! For instance, I requested it for the regulation of cosines (supplies 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 could be a Google cloud product, I determine it’d give me higher solutions there.
The most important methods Generative AI helps me:
Information 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 need and it writes code together with what packages should be put in…an actual magic wand. I may ask it for explanations of math instruments, properties of stat distributions, and even to seek out derivatives.
Copy editor: I are typically 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 easier descriptions…it calls them out and even supplies these descriptions. It even created a glossary for me for a technical paper that was 85% there.
Quicker truth discovering than through search: Search provides hyperlinks however generative AI provides solutions! Nevertheless, generally you will need to problem the details offered and you’ll sometimes get completely 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 latest classes.
Media overlaps can contaminate promoting carry research with confounding elements. For instance, you assume you’re 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 p.c of customers see your advert SOMEWHERE) is an analogous problem however expressed relative to media planning and supply. Identical downside although…if anyone noticed promoting a method, what’s the probability they noticed it one other approach too?
Should you can estimate media overlaps, it will be of nice worth.
I got here up with an thought for tackling this downside by leveraging what a marketer may know…the attain of advertisements on every platform individually and the correlations between publicity on the completely 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 completely different distributions. The Copula plus its related marginal distributions provides you the flexibility to simulate digital IDs that ought to comprise the proper correlation patterns. No less than, that’s what I wished to check.
Now, that is the place ChatGPT actually helped. I figured there could 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 appeal! 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 obtained again the proper 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 truly debated it with ChatGPT by means of a collection of prompts and responses that stored constructing on one another. The backwards and forwards actually had the texture of a dialogue with a colleague however ultimately, I used to be satisfied that I had a legitimate methodology.
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 effectively.
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 share + slugging adjusted for year-to-year results.) I obtained my reply! (I used to be stunned to see Aaron Decide proper after Mantle however forward of DiMaggio!) Then I used to be searching for a brand new present to binge, so I requested Bard for streaming video reveals that had rankings on rotten tomatoes over 90. I obtained a terrific checklist! The subsequent day, I obtained 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 finest tales of what labored (or didn’t) with ChatGPT.
