Pratik Gupta

Introvert, IT Guy, Voracious Reader, Blogger, Dog Lover, Wannabe Author

[Pratik Gupta @PratikKGupta]

@pratik0227 This kinda worked for me. Raised grievance yesterday and it's processed today.

[Pratik Gupta @PratikKGupta]

@jansuraajonline

[Pratik Gupta @PratikKGupta]

@rajibdutta10 Wow!

[Pratik Gupta @PratikKGupta]

#incometaxrefund @IncomeTaxIndia

[Pratik Gupta @PratikKGupta]

Do you remember when you joined X? I do! #MyXAnniversary

[Pratik Gupta @PratikKGupta]

Do you remember when you joined X? I do! #MyXAnniversary

[Pratik Gupta @PratikKGupta]

@toonfactory Nostalgia

[Parker Worth ⚡️ @parkerworth]

Most people suck at storytelling.

But if you avoid these 7 common mistakes, I promise you won’t:

[Joy @Joydas]

Heaven has Bangalore Weather, Mumbai People and Kolkata Food. Hell has Jaisalmer Weather, Delhi People and Ahmedabad Food

[Pratik Gupta @PratikKGupta]

@gunsnrosesgirl3 105 and 5

[James Lucas @JamesLucasIT]

A different perspective by Hugo Suissas - thread 🧵

1. Special Light

[Pratik Gupta @PratikKGupta]

Brilliant!

[Air India @airindia]

For centuries, Indian classical dance and folk-art forms have served as medium of storytelling and instruction. Today, they tell another story, that of inflight safety.

Presenting Air India’s new Safety Film, inspired by the rich and diverse dance traditions of India.

#FlyAI #NewAirIndia #InflightSafetyVideo

[Neil Patel @neilpatel]

The prompt I use to get ChatGPT to write an article that people want to read.

If you just tell ChatGPT to write an article, chances are you will get an article, but it will be one that you have to modify a lot.

But after using it for a year or so, I’ve figured out how to get it to write an article that requires less editing.

Here’s the prompt I use on ChatGPT:

I want to write an article about [insert topic] that includes stats and cite your sources. And use storytelling in the introductory paragraph.

The article should be tailored to [insert your ideal customer].

The article should focus on [what you want to talk about] instead of [what you don’t want to talk about].

Please mention [insert your company or product name] in the article and how we can help [insert your ideal customer] with [insert the problem your product or service solves]. But please don't mention [insert your company or product name] more than twice.

And wrap up the article with a conclusion and end the last sentence in the article with a question.

[Rowan Cheung @rowancheung]

Google just revealed Gemini and will directly integrate the AI into Google apps.

The GPT-4 competitor comes in 3 models — Ultra, Pro, and Nano.

Here's a thread of EVERYTHING you need to know:

[Dale Vaz @dale_vaz]

Copy Paste may cost TCS 1,750 crores in fines!!

A US Jury has asked TCS to pay $210mn (about 1,750 cr INR) in fines for allegedly accessing code and trade secrets of a competitor in the US. Apparently, TCS employees accessed and shared content of the manual and actual source code of US IT Services company, DXC, in order to help their BANCS team build a competing platform.

Copy pasting content and sharing it over email is a common practice in many IT firms, with most teams unaware of implications of copyright and IP. This case may be a wake up call for IT service companies to educate and train their employees.

On a related note, the client, that TCS was building this platform for, Transamerica, seperately cancelled their $2bn deal with TCS in June 2023.

So no client + a court case to fight.

https://t.co/wOXS8U6tLL

[Pratik Gupta @PratikKGupta]

@VishalDayama Exciting! 😮

[Viktor 🇷🇺 @shinkevichdev]

@RaulJuncoV I loved how you noticed this mixing up theory with examples Raul, I wish more books were written this way.

There are a lot of great software engineering books, I have created a list of my favorites that I love to share (Kleppmann is among them😌)

https://t.co/thGC5Gt37q

[Santiago @svpino]

What's the "Hello World" of machine learning?

Here are 4 problems I'd recommend if you want to start from the beginning:

Problem 1

The Titanic Challenge in Kaggle is among the most popular problems for beginners. This is a classification problem that deals with structured data. It will show you the impact of feature engineering.

Problem 2

For a regression problem, solve the House Pricing challenge in Kaggle.

The cool thing about these problems is that thousands of people have solved them. You'll never be stuck!

Problem 3

Handwritten Digit Recognition using the MNIST dataset. This is a classic, and it's a nice transition to start dealing with images and learning about neural networks.

You can solve this problem with a simple, fully connected network. You can also use a convolutional neural network.

Problem 4

To start with NLP, look at the Chinese Word Segmentation problem. Your job is to split a sequence of Chinese characters into words.

There are many problems out there.

When starting, look for popular problems with many solutions and explanations. They will give you the best chance to learn.

[Pratik Gupta @PratikKGupta]

@xai @newrelic Does Grok sounds familiar?