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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.

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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.

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 👍

⭐️ 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! 🤖

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/

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.