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Sign up to enter a draw for a free ChatGPT-4 premium subscription.

AI startups raised ~$50B in 2023 alone. Just WOW.

This is a class from Harvard University:

"Introduction to Data Science with Python."

You can take this class for free. If you want the certificate, you can pay $299 for it. You should be familiar with Python to take this course.

The course is for beginners. It's for those who want to build a fundamental understanding of machine learning and artificial intelligence.

The course will cover some of these topics:
• Generalization and overfitting
• Model building, regularization, and evaluation
• Linear and logistic regression models
• k-Nearest Neighbor
• Scikit-Learn, NumPy, Pandas, and Matplotlib

This course is perfect if you are a software developer with experience writing Python code and want to start with Machine Learning.
Link: https://pll.harvard.edu/course/introduction-data-science-python

Excited to share with you some FREE but very useful NEW AI Courses!

These are great for anyone who wants to dig deeper into the topic this year.

𝟭. Prompt Engineering Basics: https://explore.skillbuilder.aws/learn/course/external/view/elearning/17763/foundations-of-prompt-engineering

𝟮. ChatGPT Prompts Mastery: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

𝟯. Intro to Generative AI: https://www.cloudskillsboost.google/course_templates/536

𝟰. AI Introduction by Harvard: https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python/2023-05

𝟱. Microsoft GenAI Basics: https://www.linkedin.com/learning/what-is-generative-ai/generative-ai-is-a-tool-in-service-of-humanity

𝟲. Prompt Engineering Pro: https://learnprompting.org

𝟳. Google's Ethical AI: https://www.cloudskillsboost.google/course_templates/554

𝟴. Harvard Machine Learning: https://pll.harvard.edu/course/data-science-machine-learning

𝟵. LangChain App Developer: https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/

𝟭𝟬. Bing Chat Applications: https://www.linkedin.com/learning/streamlining-your-work-with-copilot-formerly-bing-chat-bing-chat-enterprise/put-your-fingers-to-work-chatting-as-a-productivity-tool

𝟭𝟭. Generative AI by Microsoft: https://learn.microsoft.com/en-us/training/paths/introduction-generative-ai/

𝟭𝟮. Amazon's AI Strategy: https://explore.skillbuilder.aws/learn/public/learning_plan/view/1909/generative-ai-learning-plan-for-decision-makers

𝟭𝟯. GenAI for Everyone: https://www.deeplearning.ai/courses/generative-ai-for-everyone/

𝟭𝟰. AWS GenAI Foundation: https://www.coursera.org/learn/generative-ai-with-llms

♻️ 𝗕𝗼𝗻𝘂𝘀:

• OpenCV Bootcamp: https://opencv.org/university/free-opencv-course/

• Tensorflow Bootcamp: https://opencv.org/university/free-tensorflow-keras-course/

StackOverflow is a dinosaur that's going extinct.

I mostly use Copilot, ChatGPT, & Perplexity. I haven't found a single reason to visit StackOverflow anymore.

StackOverflow can't compete, & I don't see how they can stay relevant any longer.

I use Copilot for inline suggestions. As I type, Copilot takes care of the little things. It saves me from dozens of searches every day.

ChatGPT is the workhorse. I use it to solve more complex tasks with my code. Here are some examples:

• Explain what this code does
• Simplify it
• Rewrite it in a more efficient way
• Rewrite it in a more readable way
• Replace the use of a library with another
• Write documentation for it
• Describe potential edge cases
• Write unit tests for those edge cases

I use Perplexity to ask questions. Google is broken. If you don't believe me, try Perplexity for a day.

(Google is still king as a navigation tool, I never type a complete URL in my browser)

Modern AI-powered tools are replacing boomer tech.

StackOverflow is dead to me.

Now Bard becomes Gemini 🚀

Google launches Gemini Ultra, its most powerful LLM yet

👉 Google renames Bard to Gemini, launches paid ‘Gemini Advanced’ with Ultra 1.0

👉 Gemini is the company’s much-anticipated response to ChatGPT and OpenAI’s GPT-4 model, which was the industry leader to this point.

👉 Based on my early testing, Gemini Ultra matches or exceeds GPT-4’s performance. In particular, there’s one thing that Gemini Ultra does way better than ChatGPT.

👉 Gemini’s release is Google’s biggest AI move in at least a year, and Gemini is now ChatGPT’s only true competitor.

👉 On their official launch page, Google provides three examples of the new things Gemini Ultra can do. I decided to test the model’s performance by trying each of those thing and found that results are really good and promising.

⭐️ I have canceled my OpenAI Premium subscription and now using Gemini's 2-month FREE trial—YES, a free trial is indeed available for two months.

Checkout: https://gemini.google.com/app

To Know more: https://blog.google/products/gemini/bard-gemini-advanced-app/

⭐️ A simple guide for those who want to learn machine learning:

These are 3 online courses you can take in order. I also have a bonus for those who need a little bit more.

First, start with freeCodeCamp's Python course.

It's a free 9-hour course. You'll find it on their YouTube channel. Search for "Python Tutorial for Beginners (with mini-projects)."

Second, cover the basics of machine learning.

Take Google's Machine Learning Crash Course. It's free, and you'll find it online.

This course starts from scratch, and it's focused on beginners. It's an excellent choice for those who want to take things slow.

There are two alternatives that I recommend to people who want to take it even slower:

• Intro to Machine Learning
• Intermediate Machine Learning

These are tutorials from Kaggle. These are short courses, but you will learn a ton from them. 

Finally, take the Machine Learning Specialization on Coursera.

Completing this specialization will take several weeks. It's not free, but nothing that matters is.

Bonus for those who need a bigger challenge:

Explore GitHub projects, read top research papers in the field. Remember real world learning is always important.

In summary: 🚀
1. Python Tutorial for Beginners (freeCodeCamp)
2. Google's Machine Learning Crash Course
3. Coursera's Machine Learning Specialization

But what about the math? 📊

Don't rush it. You'll have plenty of opportunities to learn mathematics. Start building and pick the math as you go.

People always ask me about the timeline: How long will this take them?

My answer is always the same: how long do you have? This will take all of it.

Happy Machine Learning! 🤖

This week’s AI news:

🎥 All about OpenAI’s Sora.

🤟Yolov9 is out

🖥️ Huawei's AI chips gain traction.

🤖 Google Gemini 1.5 is out

🤸 AI judges gymnastics with precision.

📸. Google Gemma - New Open-Source LLM #ainews

I plan to share AI news updates every saturday. If you support this AI news initiative, Show your support 👍

This week's Ai News

🧠 Krutim AI's chatbot demo failed, It said it's built upon OpenAi

🚗 Apple Car Cancelled

📰 Google Quietly Paying Journalists to Generate Articles Using Unreleased AI

👊 Elon Musk Sues OpenAI

🗞Mistral CEO confirms ‘leak’ of new open source AI model nearing GPT-4 performance.

How to Build Your Career in Artificial Intelligence by Andrew Ng!

This books includes:

✅ Steps to Career Growth.

✅ Learning Technical Skills for a Promising AI Career.

✅ Should You Learn Math to Get a Job in AI?

✅ Finding Projects that Complement

✅ Building a Portfolio of Projects that Shows Skill Progression.

✅ A Simple Framework for Starting Your AI Job Search.

✅ Finding the Right AI Job for You.

Good read for beginners 🚀

Jensen introduced GPUs like Steve Jobs used to introduce iPhones! 🚀

Nvidia Introduced Blackwell. It's not gonna be the only chip; it’s a platform. —Jensen Huang, CEO, NVIDIA

Blackwell platform for trillion-parameter scale generative AI.

Main features:
- AI Superchip, 208B transistors
- 2nd Gen Transformer Engine: FP4/FP6 Tensor Core
- 5th Generation NVLink: Scales to 576 GPUs
- RAS Engine: 100% In-System Self-Test
- Secure AI: Full Performance Encryption
- Decompression Engine: 800GB/sec

The most powerful GPU in the market. Exciting announcement, from GTC2024.

Checkout our Instagram ✌️

This week's Ai News

1) Nvidia Launches Next-Generation Blackwell GPUs Amid AI ‘Arms Race’

2) Apple in Talks to License Google Gemini for iPhone.📱

3) Elon Musk ‘goes for a walk’ with Tesla's humanoid robot. 🤖

4) India next big playground for AI: Samsung. 📱

5) Stability AI CEO resigns to ‘pursue decentralized AI’

6) UN passes first global AI resolution. 🌎

7) Elon Musk’s xAI open-source Grok 🐥

Ai revolution and learning path 📚

The current AI revolution is exhilarating 🚀, pushing the boundaries of what's possible across different sectors. Yet, it's essential to anchor oneself in the foundational elements that enable these advancements:

- Neural Networks: Grasp the basics and variations, understanding how they process information and learning about key types like CNNs and RNNs 🧠.

- Loss Functions and Optimization: Familiarize yourself with how loss functions measure model performance and the role of optimization techniques like gradient descent in improving accuracy 🔍.

- Activation Functions: Learn about the significance of activation functions such as ReLU and Sigmoid in capturing non-linear patterns 🔑.

- Training and Evaluation: Master the nuanced art of model training, from preventing overfitting with regularization to fine-tuning hyperparameters for optimal performance 🎯.

- Data Handling: Recognize the importance of data preprocessing and augmentation in enhancing model robustness. 💾

- Stay Updated: Keep an eye on emerging trends, like transformers and GANs, and understand the ethical considerations in AI application. 🌐

Immersing yourself in these core areas not only prepares you for the ongoing AI wave but sets a solid foundation for navigating future advancements. Balancing a strong grasp of fundamental concepts with an awareness of new technologies is key to thriving in the AI domain.

This Week's AI News 🌏

1) OpenAI voice cloning new feature called Voice Engine. 🗣

2) Elon’s x.ai launch latest generative AI, Grok-1.5 , Elon musk’s grok can now code and do maths 📚

3) Microsoft And OpenAI Partnering On Stargate, A $100B U.S. Data Center 🚀

4) Google launch VLOGGER AI transforms images into avatar

5) Meta is planning to make WhatsApp smarter, will soon add AI chatbot, photo editor and more.

6) OpenAI tries going Hollywood - Sam Altman is looking to win over movie studios with Sora, OpenAI's new video-generating tool.

7) Nvidia new business entry generative AI nurse for $9/hour👩🏻‍⚕️

📢 OpenAI just launched the Voice Engine

OpenAI introduces 'Voice Engine,' a groundbreaking voice cloning technology capable of replicating a person's voice from just a 15-second sample.

This is scary and cool at the same time!

Soon, we all need to ask for passcodes to trust phone calls from family members👀

On the bright side, Modi, Kejriwal, and Rahul Gandhi will tell me some jokes daily.😆

95% of Machine Learning solutions in the real world are for tabular data.

Not LLMs, not transformers, not agents, not fancy stuff.

Learning to do feature engineering and build tree-based models will open a ton of opportunities.

AI will improve Programming but will it ever replace Professional programmer 🧑🏻‍💻

Current evidence says no.

1. AI can turn non-coders into average programmers
2. AI can help average programmers become better
3. AI can't help expert programmers much

This week's Ai News 🌏

🔥 AI is on fire this week with incredible new releases!

1) GPT-4 Turbo with Vision is now generally available in the API.

2) Gemini 1.5 Pro can now Listen!

3) Mistral releases a new MoE model with a torrent link!

4) Google Ai Magic Editor free for all Google Photo users.

5) Google launch google vids create customized video with Ai

6) Google unveil Imagen 2 DALL-E, Midjourney competitor.

7) Humane Ai Pin launch subscription costs $24/month

8) WhatsApp Messenger integrated the Llma2 model in chat.