Artificial Intelligence

2024-03-30 16:48:32 Join Ai Jobs:
https://t.me/AiIndiaJobs Open / Comment

2024-03-27 17:34:16 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. Open / Comment

2024-03-23 18:07:22 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 Open / Comment

2024-03-22 13:34:27 Checkout our Instagram Open / Comment

2024-03-19 05:56:20 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. Open / Comment

2024-03-17 11:33:20 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 Open / Comment

2024-03-02 20:17:06 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. Open / Comment

2024-02-24 17:31:47 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 Open / Comment

2024-02-22 08:52:47 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! Open / Comment

2024-02-10 10:15:09 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/ Open / Comment