A Review of 2023’s Most Impressive Large Language Models

Happy Birthday chatGPT. and thank you for changing the world for the better.

Today marks ChatGPT's 1st birthday — a year since OpenAI released an early demo of the artificial intelligence generative tool on Nov. 30, 2022.

@EmmersiveLearning Team.

Linux and mac guys.

Step1 – HTML
Step2 – CSS
Step3 – JavaScript
Step4 – Git+GitHub
Step5 – Build Project 👈
Step6 – React
Step7 – Node.js
Step8 – Build an API
Step9 – Build Project 👈
Step10 – Next.js
Step11 – CI/CD
Step12 – CockroachDB
Step13 – Build Project 👈

🏆 – Full Stack developer

@EmmersiveLearning

we believe our channel is the best for beginners.

join and learn what you want. 👇

https://www.youtube.com/@EmmersiveLearning/

Productivity hacks that might work for you:

✅ use apps to reduce your screen time

✅ use an app to organize your tasks

✅ put the phone in airplane mode

✅ put the phone in a box

✅ pomodoro technique

✅ uninstall apps

None of them work for me btw. 😂😂😂

Plan your 100 days of code.

A rough plan could be:

• Start with HTML, CSS
• Move to JavaScript, DOM
• Learn Git
• Dive into React

Don't forget to work on projects.

Share your progress on On our Communities to receive feedback.

Get a job!
————————

join our community here 👇
@EmmersiveCommunity

Coding while sleeping 😊😂😂

#brie

Free Frontend Hosting Resources:

🌐 Vercel

☁️ Netlify

🔥 Firebase Hosting

🎨 GitHub Pages

🌟 Render

🛠 Surge

💻 Heroku

🌍 AWS Amplify

⚡️ Glitch

🔗 DigitalOcean App Platform

🌌 Microsoft Azure Static Web Apps

🛤 Cloudflare Pages

What else ? 👇

🤔 How to Choose the Right Tech Stack for Your Project 🤔

🧐 Understand project requirements
📈 Consider scalability
🌍 Look at community support and resources
🔧 Evaluate the maturity of the technology
🚀 Look into deployment ease
💬 Check language compatibility

What else? 👇

Practice code Everywhere you go:

- In the park while enjoying nature
- At a coffee shop over a cup of coffee
- On a train during your commute
- At home, in the comfort of your living room
- Don’t wait for “the perfect place"

Code is portable,

and so is your learning! 🚀

Best way to master CSS,🔥

The CSS tree 👇
|
|── Text Styles
| |── color
| |── font
| | ├── font-family
| | ├── font-size
| | └── font-weight
| |── text-align
| |── text-decoration
| | ├── underline
| | └── line-through
| |── line-height
| └-─ letter-spacing
|
|── Box Model
| |── width
| |── height
| |── margin
| | ├── margin-top
| | ├── margin-right
| | ├── margin-bottom
| | └── margin-left
| |
| |── padding
| | ├── padding-top
| | ├── padding-right
| | ├── padding-bottom
| | └── padding-left
| |
| └-─ border
| |── border-width
| | |── border-top-width
| | |── border-right-width
| | |── border-bottom-width
| | └── border-left-width
| |── border-color
| | ├── border-top-color
| | ├── border-right-color
| | ├── border-bottom-color
| | └── border-left-color
| └── border-radius
| ├── border-top-left-radius
| ├── border-top-right-radius
| ├── border-bottom-left-radius
| └── border-bottom-right-radius
|
|── Positioning
| ├── position
| ├── top
| ├── right
| ├── bottom
| └── left
|
|── Layout
| ├── display
| ├── visibility
| ├── float
| └── clear
|
|── Flexbox
| ├── flex
| ├── flex-direction
| ├── flex-wrap
| ├── justify-content
| └── align-items
|
|── Grid Layout
| ├── grid-template-columns
| ├── grid-template-rows
| ├── grid-column
| ├── grid-row
| ├── grid-column-gap
| └── grid-row-gap
|
|── Colors and Background
| ├── background-color
| ├── background-image
| ├── background-repeat
| ├── background-position
| ├── background-size
| ├── color
| └── opacity
|
|── Transitions and Animations
| |── transition
| | ├── transition-property
| | ├── transition-duration
| | ├── transition-timing-function
| | └── transition-delay
| └── animation
| ├── animation-name
| ├── animation-duration
| ├── animation-timing-function
| ├── animation-delay
| ├── animation-iteration-count
| ├── animation-direction
| ├── animation-fill-mode
| └── animation-play-state
|
|___ Others
|── z-index
|── box-sizing
|── overflow
| ├── overflow-x
| └── overflow-y
|── cursor
└── box-shadow

-------------------- END --------------------

Some good resources to learn CSS👇

1.MDN
https://developer.mozilla.org/en-US/docs/Learn/Getting_started_with_the_web/CSS_basics
2.W3Schools
https://w3schools.com/css/
3.freeCodeCamp
https://freecodecamp.org/learn/
4.CSS-Tricks
https://css-tricks.com
5.Flexbox Froggy:
https://flexboxfroggy.com
6.Grid Garden
https://cssgridgarden.com
7. YouTube - EmmersiveLearning

https://www.youtube.com/watch?v=XKNSgDL3xgM

Feel free to add anything I missed😊🌱🌱

Focus on the what you can control.

Complete Ai/Ml road map🔥

It's the trend of Ai👇

1.Intro to AI:
• Definition of AI
• Types of AI
• AI in real life

2.Introduction to ML:
• Definition of ML
• Types of ML
- Supervised
- Unsupervised
- Reinforcement
• ML applications

3.Mathematics for ML:
• Linear Algebra
• Calculus
• Probability and Statistics

4.Programming Basics:
• Choose a prog language
- e.g., Python
• Basic syntax
• data structures
• Intro to libraries like
- NumPy
- Pandas

5.Supervised Learning:
• Regression
• Classification
• Model evaluation
• metrics

6.Unsupervised Learning:
• Clustering
• Dimensionality reduction
• Association rule learning

7.Deep Learning Basics:
• Neural networks
• Activation functions
• Backpropagation

8.Intro to TensorFlow and PyTorch:
• Basic usage
• syntax
• Building simple neural networks

9.Advanced Deep Learning:
• Convolutional Neural Networks (CNN)
• Recurrent Neural Networks (RNN)
• Transfer Learning

10.Natural Language Processing (NLP):
• Text processing
• Tokenization and stemming
• Sentiment analysis

11. Computer Vision:
• Image processing
• Object detection
• Image segmentation

12.Reinforcement Learning:
• Basics of RL
• Markov Decision Processes
• Q-Learning
• Policy Gradient methods

13.Generative Adversarial Networks (GANs):
• Introduction to GANs
• Image generation with GANs

14.Time Series Analysis:
• Time series forecasting
• ARIMA models
• LSTM for time series

15.Anomaly Detection:
• Types of anomalies
• Approaches to anomaly detection

16. AI Ethics and Bias:
• Ethical considerations in AI/ML
• Addressing bias in models

17.Model Deployment:
• Containerization
- e.g., Docker
• Deployment platforms
- e.g., Flask, FastAPI

18.Monitoring and Maintenance:
• Model monitoring
• Continuous integration (CI)
• continuous deployment (CD)

19.Scalability:
• Handling large datasets
• Distributed computing frameworks
- e.g., Apache Spark

20. AI/ML in the Cloud:
• Using cloud services
- e.g., AWS, Azure, GCP
• Serverless computing

21.Explainable AI (XAI):
• Techniques for interpretable models
• Importance of model explainability

22.AutoML:
• Automated machine learning tools
• Hyperparameter tuning

23.Quantum Machine Learning:
• Basics of quantum computing
• Quantum machine learning algorithms

24. AI for Edge Computing:
• Deploying models on edge devices
• Edge AI applications

25.Stay Updated:
• Follow research papers
• Followconferences
- e.g., NeurIPS, ICML
• Join AI/ML communities

26.Advanced Research Topics:
• Dive into cutting-edge research areas
• Contribute to open-source AI projects

------------------- END --------------------

That's a wrap👏

"Take a simple idea, and take it seriously."
— Charlie Munger

try this. 😊 👇

Seriosly,

pick an object and ask a series of what, how, why, where, and when questions.

Do not limit yourself to the physical world here, or even direct connections.

focus on it for atleast 10 minutes contemplating and questioning it.

what do you get ?.. what did you realize ?...

#my_sunday_madness 😊😊😂

i love minimalist things.

no more stuff 😊

"Earn with your mind, not with your time." @naval