ChatGPT - 4 solving interview questions from leetcode better than programmers- demo #chatgpt4

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#chatgpt4 #chatgpt #chatgptcoding #demo #explained #tutorial #openai #microsoft #googleinterview #datamodeling #artificialintelligence #ai #code #faang #softwaredeveloper #softwareengineer #headlines #breakingnews #techtalk

In this video I will test the coding capabilities of chatGPT 4 to see if it can solve technical/coding interview questions from leetcode. These are data-structure and algorithm questions that have been asked by hundreds of companies. Some notable companies who asked these questions are, google, microsoft, facebook, amazon, linked in, netflix, apple, twitter, tesla, uber, yahoo, goldman sachs, open ai, tcs, infosys and many more.

ChatGPT: Optimizing Language Models for Dialogue
OpenAI trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.

My Mission:
"Empower everyone person in the world to be better at technical interviews, by providing valuable and free tools"

Improve your resume writing skills with this book I wrote.

Problems mentioned in the video:

Leetcode 1: Two Sum
Leetcode 2: Add Two Numbers
Leetcode 3: Median of Two Sorted Arrays
Leetcode 10: Regular Expression Matching
Leetcode 23: Merge k Sorted Lists
Leetcode 25: Reverse Nodes in k-Group
Leetcode 37: Sudoku Solver

Introduction: 00:00
Leetcode Easy: 00:44
Leetcode Medium: 02:24
Leetcode Hard: 02:56

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(Contact me for Business Inquiries):

GitHub Repository for Questions solved so far:

(Support the channel, if videos helps you in any manner... Give me a Coffee)

About me and My Purpose:

I am a software engineer with 5+ years of experience @ Non-FAANG company. I have always been bad at coding and really bad at programming interviews. So, once I got employed in IT industry, I only worked on operational activities (just so I can avoid coding).

But deep down I always wanted to work at an Elite IT company. So, I decided to face my fears, and to master coding & technical Interviews. I started with LeetCoding 1 problem a day. But I was facing issues with consistency, I would solve LC problems for week, and then drop it for 2-3 weeks. This lasted till 6 months.

And upon deeper investigation I found that I was not committed enough. Then suddenly my wife gave me an idea, that rather then focusing on solving a LC problem for my-self, why don't I commit to make videos on solving the LC problems. And try to complete at-least one video every alternate day. Hence, I started this channel.

My ultimate aim is to get into FAANG company, and also create a channel in such a way that anyone wants to get into FAANG, if they just follow my channel, they should be able to clear all the FAANG Technical Interviews.

Here are few more reasons on why I started the channel.

1) To have a motive for me to solve leetcode problems.
2) In order to solve a LC problem, first I have to really understand the problem and explain my thought process, which solidifies my concepts.
3) I can document my progress. Also learn a new skill on how to run a YT channel.
4) My work can help other software engineers.
5) I can have something cool to mention in my linked-in and resume.
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Here is a list of my dream Companies:

FAANG,
Meta,
Facebook,
Google,
Amazon,
Netflix,
Microsoft,
apple,
doordash,
roblox,
stripe,
instacart,
uber,
lyft,
twitter,
linked In,
pinetrest,
bloomberg,
robinhood,
Goldman Sachs,
box,
two sigma,
byte dance,
tik tok,
air bnb,
nuro,
ui path,
oracle,
twitch,
data bricks,
waymo,
dropbox,
coinbase,
snowflake,
snap,
nvdia,
broadcom,
slack,
intel,
cisco,
indeed,
salesforce,
reddit,
wayfair,
okta,
splunk,
service now,
coursera,
square,
upgrade,
mozilla,
yelp,
unity,
ebay,
affirm,
stach adapt,
amplitude,
github,
wish,
brex,
etsy,
chime,
shopify,
amd,
GoDaddy,
IBM