BC GPT CHEAT LL
Saved by @Smatpix

11 ways ChatGPT saves me hours of work every day, and why you'll never outcompete those who use AI effectively.

A list for those who write code:

1 of 16

 1. Explaining code

Take some code you want to understand and ask ChatGPT to explain it.

I've found explanations are very detailed. This is much quicker than trying to figure out convoluted code.

2 of 16
2. Improve existing code

Ask ChatGPT to improve existing code by describing what you want to accomplish.

It will give you instructions about how to do it, including the modified code.

3 of 16
3. Rewriting code using the correct style

This is great when refactoring code written by non-native Python developers who used a different naming convention.

Notice how ChatGPT not only gives you the updated code; it also explains the reason for the changes.

4 of 16
4. Rewriting code using idiomatic constructs

Very helpful when reviewing and refactoring code written by non-native Python developers.

ChatGPT knows the "Pythonic" way, and it will give you suggestions to improve your code and make it much more readable.

5 of 16
5. Simplifying code

This is one of my favorite tricks: Ask ChatGPT to simplify complex code.

The result will be a much more compact version of the original code.

Notice the explanation and how it tells us this is simpler but not the most efficient.

6 of 16
6. Writing test cases

This has become one of my favorite ChatGPT abilities: Ask it to help you test a function, and it will write test cases for you.

This example focuses on the quick_sort function from the previous example.

7 of 16
7. Exploring alternatives

ChatGPT told me its Quick Sort implementation wasn't the most efficient, so I asked for an alternative implementation.

This is great when you want to explore different ways to accomplish the same thing.

I've learned a ton from this!

8 of 16
8. Translating code

Anytime you want to port some code from one language to another, ask ChatGPT to help you.

9 of 16
9. Writing documentation

This is another one of my favorite tricks.

Ask ChatGPT to write the documentation for a piece of code, and it usually does a great job.

It even includes usage examples as part of the documentation!

10 of 16
10. Tracking down bugs

If you are having trouble finding a bug in your code, ask ChatGPT for help.

It took ChatGPT seconds to find the bug in the attached example. I don't know about you, but it would have taken me much longer than that.

11 of 16
11. Scaffolding

Probably the way I use it the most is to kick off the structure of anything new I want to write. GitHub Copilot does a great job at this as well.

An example where this is very useful is when interacting with a RESTful API.

12 of 16
Something to keep in mind:

I have 2+ decades of programming experience. I like to think I know what I'm doing.

I don't trust people's code (especially mine,) and I surely don't trust ChatGPT's output.

13 of 16
This is not about letting ChatGPT do my work. This is about using it to 10x my output.

ChatGPT is flawed. I find it makes mistakes when dealing with code, but that's why I'm here: to supervise it.

Together we form a more perfect Union. (Sorry, couldn't help it)

14 of 16
Developers who shit on this are missing the point.

The story is not about ChatGPT taking programmers' jobs. It's not about a missing import here or a subtle mistake there.

The story is how, overnight, AI gives programmers a 100x boost.

Ignore this at your own peril.

15 of 16
Next time, I'll show you how to build an end-to-end deep learning model using ChatGPT.

I'll only ask questions.

It'll blow your mind.

Follow me @svpino to ensure you don't miss it.

16 of 16

More from Santiago

Santiago
Santiago
@svpino
Beginners guide to start with machine learning.

What you need:

1. A programming language
2. A place to write and run code
3. A way to deal with data
4. A way to visualize results
5. A cool algorithm
6. An introductory course
7. A project to solve

Here are my recommendations.

Most people recommend Python to start.

I do too.

You can do machine learning with many different languages, but today, Python is the best option.

My advice: Get comfortable writing code before looking into machine learning.

You don't have to be a great developer to start.

But if you are, it helps.

Everything you know about building software is helpful to build machine learning systems.

Good developers have the odds in their favor.

"How much Python do I need to know before starting?"

If you ask, you aren't ready yet.

Ideal scenario: You should be comfortable building software. Most people get here within a year.

Let's move on to the 2nd item from the list: A place to write and run your code.

Get familiar with Google Colab.

• It's free.
• Requires no setup to start.
• It's available from anywhere.

Alternative: Kaggle.
ALL , DS , ADS
Santiago
Santiago
@svpino
Machine learning education is broken.

If you are preparing for a research position, you are good. If you are looking to get out there and start solving problems, not even close.

Here are some thoughts so you can get ahead.

↓

Most classes, courses, and books cover the same road.

They start with a dataset. They finish with a working model. The focus is always on everything that happens in between.

Dataset → Model.

This is great, but not enough.

Real-life situations rarely start with a dataset, and they never end after you finish building your model.

Applying machine learning successfully is hard.

Here are a few examples that you should keep in mind.

First challenge: Properly framing up the problem.

If you don't understand the problem, you can't determine what data you need. If you don't understand the data, you can't build a good model.

I've never seen a company that had their data ready to go.

In fact, most of them don't even have data at all and need you to determine what exactly they should start collecting.

You usually have to go Problem → Potential Solution → Data.
ALL
Advertisement
Santiago
Santiago
@svpino
Here is a simple example of a machine learning model.

I put it together a long time ago, and it was very helpful! I sliced it apart a thousand times until things started to make sense.

It's TensorFlow and Keras.

If you are starting out, this may be a good puzzle to solve.


The goal of this model is to learn to multiply one-digit
TECH
Santiago
Santiago
@svpino
The two main machine learning techniques used in the industry today:

1. Gradient Boosted Trees
2. Deep Learning

Focus your time learning Scikit-Learn, XGBoost, and a Deep Learning library like Keras or PyTorch and you'll get the most for your time.

If you need to deal with structured data: Scikit-Learn + XGBoost.

If you need to deal with unstructured data (perceptual tasks): Keras or PyTorch.

Of course, there are many more techniques that will be helpful, but if you focus on these you'll be maximizing your ability to deliver value in the short term.
DS
Santiago
Santiago
@svpino
11 short programming problems to stretch your imagination and make sure you are staying on your toes.

(Starting with the simple ones, they get more fun as you move towards the end.)

🧵👇

1. Write a function that reverses an array in place.

In other words, the function should not use an auxiliary array to do the work.

2. Write a function that finds the missing number in an unsorted array containing every one of the other 99 numbers ranging from 1 to 100.

3. Write a function that finds the duplicate number in an unsorted array containing every number from 1 to 100.

Only one of the numbers will appear twice.

4. Write a function that removes every duplicate value in an array.

There could be more than one value duplicated. You should remove all of them leaving a single copy of the value.
TECH

You May Also Like

Jaya_Upadhyaya
Jaya_Upadhyaya
@Jayalko1
DEVI KARUMARIAMMAN, THIRUVERKADU (TN)

Devi is worshipped here as both Swayambhu (self-manifested) and as Parashakti (with 4 arms holding skull,sword,trishul,udukkai/damru).

Here, Muruga got Vel from Devi to fight Suran. So the place was called Vel kadu which became Verkadu.


It is said that there was an anthill here long ago. Devi appeared in the dream of a devotee and asked him to build a shrine at that spot. When the anthill was removed, the swayambhu murti of Devi emerged. So Devi is called Karuvil Illadha Karumari ( not in the womb of mother).


Once, Devi went to Surya in the form of an old woman but Surya neglected her. Devi’s anger made Surya lose his brightness.
To appease her, Surya said that His rays would fall on Her directly twice in a year and touch her feet. Also, Sunday is celebrated as day of Devi Karumari.


There is also a wooden image of Devi (Marachilai Amman) here. Devotees offer locks to her in the belief that She would safe guard their houses.
Temple tank (Thiruchamber Poigai) is said to have been created by Subramanya. Taking dip in it is said to cure skin related disorders.
ALL
Justin Jackson
Justin Jackson
@mijustin
A lot of bootstrappers think they have a marketing problem:

"I need to get better at marketing."

But, it's more likely that you have a product problem:

"Do customers really want this? Do they care enough about this to switch to a new solution?"

☝️ this is why most of my book, @marketingdevs, is about:

1. Choosing the right market
2. Building something they want

"If your product is remarkable, getting noticed is a lot easier." – @peldi


I was reminded of this concept again this morning while reading @pjrvs' book (Company of One):

"Sales increase when you honestly evaluate what someone needs and then teach them the value of what you're selling."


To succeed, your product has to offer an outcome that is highly desirable to a large group of customers.

The number of sales your product receives is a multiple of these two variables:

1. How big is the target market?
2. How desirable is the outcome you're offering them?
STARTUPS
Advertisement
Corey Lynn \U0001f64f\U0001f1fa\U0001f1f8
Corey Lynn 🙏🇺🇸...
@CoreysDigs
1) OBSERVATION: The frequencies are changing. I would have to assess stats on the electromagnetic field to see its fluctuations. All I know is, I am highly sensitive to energy/frequencies, and they are changing, because…

2) 2 Weeks ago, my dog was effected by it as well. He is hearing things that aren’t technically audible. I can tell by his body language and sounds. One week ago I began feeling a pressure in my head and ears. It wasn’t painful at all, but it was intense for a bit.

3) It reminded me of taking off in an airplane a bit. I felt like I was in a vacuum. It went on and off for a couple of days. I’ve picked up on frequencies and high pitched sounds (not audible to most) for 30 years, and today my right ear began to ring for longer than usual.

4) This is nothing unusual for me, with exception of the duration. This happens often with me. No, it’s not tinnitus. Only this time, when I spoke, there was reverb creating a high pitch in my ear from my voice. This lasted for about 30 minutes. It did not hurt, just annoying.

5) So yes, the frequencies are changing. What this means exactly, I am unsure of at the moment. Some will say electromagnetic fields, others will say ascension, and some will say pole shift. I honestly can’t say at this very moment.
SCIENCE
Brian Cates
Brian Cates
@drawandstrike
A lot of people don't understand that Trump & his incoming team didn't face a normal transition period, like it was over a in a matter of a few weeks or months.

The DOJ transition period JUST ENDED when Sessions left. Almost 2 exact years to get it there.

Pompeo at the CIA took over a year before he was done and ready to shift over to the State Department.

All kinds of stuff has been going on behind the scenes nobody leaks or talks about.

We only had the barest mention of the fact the Clinton Email investigation restarted

Nobody leaked in a year that Huber was deep diving into the Clinton Foundation.
Keep that in mind as all the usual suspects continue to INSIST nothing is happening/going to happen.
POLITICS
Noah Smith
Noah Smith
@Noahpinion
Met a Brazilian-American Lyft driver from San Diego who passionately attacked the racism of Republicans, then switched to passionately defending Bolsonaro.

If I were Thomas Friedman, I could tell you what this means.

Met a Haitian-American in a restaurant who said he'd always vote for Democrats because of the immigration issue, but that he has conservative beliefs too. "I don't want to pay for someone's abortion!", he declared.

Met a Latino Lyft driver from San Jose who said that while he was liberal, California was getting too liberal for him and he was considering moving to San Antonio.

Again, not being Tom Friedman, I am unable to offer any commentary on the political and policy implications of these conversations.

I guess my only thought is that political opinions are pretty complex and multidimensional, out there in the real world.

(end)
POLITICS