Bard is good (for code) ...

[Graybeard]

A series of images and prompts --talk to the bot

let's code Bard ...

I'll take some blame here the csv had a header and row 1 [1] was not numerical ...

Now let's show the difference between the average and the true percentile median used in statistics.

The result:

That is
35952.0 - 35444.97777777778 = 507.02222222222

or $507 more (the price of BTC for 100 days)

advantage --leverage the machine Python is not my game but with AI I am getting better at it.
learn by example not theory --and git 'er done

 

[Graybeard]

Part 2 --add some of my existing code fro ChatGPT (development):

willing and eager little bugger

fogott! like my Grandfather Louis use to say (NYC yell) at me

so fix it Bard -O

result cont ... 5 attachment limit NEXT ...

 

[Graybeard]

success ...

I did the actual AI and code work in under 10 minutes modifying my old script to a new purpose.

the AI Knowledge Base had this part

median = statistics.median(numbers)
average = sum(numbers) / len(numbers)

and did the typing without errors Python indentation HAS to be right

So this is Bard

TY for coming to my Ted Talk

 

[Graybeard]

So far, when comparing Bard and ChatGPT:

Bard seems a lot "colder' personality wise to me than ChatGPT is.
I see Google losing the mass-market AI wars with consumer/general public users at this point for this reason.

Admittingly, my opinion of bard is based on limited usage --so far ...

 

[gameovershow]

Your approach of learning by example instead of theory totally resonates with me. By the way, kudos on the impressive $507 savings using the BTC price for 100 days—talk about leveraging the machine! I'm a bit of a newbie here, still finding my way around. Your mention of the JPEG Optimizer caught my eye—such a handy tool! The whole idea for better efficiency is genius. It's amazing how AI can make these processes so much more accessible, even if Python isn't exactly my forte. It's been quite the adventure.