Dev @GPTLearningHub
Join thousands of ML enthusiasts that read GPT Insiders daily š gptlearninghub.ai/gpt-insiders Joined December 2023-
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Don't call yourself an ML enthusiast if you don't know this guy.
Anyone else think that Meta isnāt the "Mother Theresa of AI" for open sourcing their LLMs? Theyāve got to have an ulterior motive.
I donāt know who needs to hear this, but donāt call yourself an ML expert if you havenāt implemented a Neural Network from scratch.
Learn These 2 Languages For AI/ML 1. Python This is the most commonly used language for AI applications. 2. Why are you still reading? Learn Python and get started ASAP before moving on to other languages.
Build These 2 AI/ML Projects 1. Implementing a research paper from scratch. Papers like Attention Is All You Need are fundamental to todayās technologies. Every ML enthusiast should code it up at least once. While this isnāt flashy or glamorous, it will solidify yourā¦
How Neural Networks Learn Thereās a simple equation for āGradient Descentā. Iāve created countless videos on this topic. With each iteration, Iāve made the explanation more and more concise. Check out this animated visualization š.
Machine Learning 101 Early on in your ML journey? I have the perfect video for you. Letās review the 4 Must Know Concepts and bridge everything together.
Visualizing Neural Networks Looking to learn about NNs? Or just recently learned about them? Check out this 6 minute video to deepen your understanding š.
Do you understand Neural Networks? The must-know fundamentals. Counting parameters, activations, and more. Take this quick video quiz to find out š.
How do Convolutional Neural Networks really work? Thereās tons of tutorials on how to train an image classifier. But how do convolutions actually work? Take a break from scrolling, and spend 3 minutes here. Weāll go over convolutions using animations instead.
Learn These 2 Languages For AI/ML 1. Python This is the most commonly used language for AI applications. 2. Why are you still reading? Learn Python and get started ASAP before moving on to other languages.
Does anyone else think that Meta isnāt the āMother Theresaā of AI for open sourcing their LLMs? Theyāve got to have an ulterior motive.
Teaching Computers to See LLMs get all the hype these days. But thatās just one aspect of Deep Learning. If you have 3 minutes to spare, check out this highly visual, animation of Convolutions. No ML background required.
Practice Makes Perfect Youāve likely heard this before. But itās not like thereās a quick multiple choice quiz after every ML video. Or better yet, integrated throughout the video. Until now. Check out the 5 minute quiz below on Neural Networks š.
Donāt call yourself a Deep Learning enthusiast if you donāt know this guyās name.
How LLMs, like ChatGPT Learn Bold Claim: I can explain this topic in 6 minutes. Normally, this wouldnāt be realistic. But I have a unique format of explaining the concept. Check out this video for a visual explanation š.
Practice Makes Perfect Youāve likely heard this before. But itās not like thereās a quick multiple choice quiz after every ML video. Or better yet, integrated throughout the video. Until now. Check out the 3 minute quiz below on CNNs š.
I donāt know who needs to hear this, but donāt call yourself an ML expert if you havenāt implemented a Neural Network from scratch.
Most Machine Learning solutions are still catered to relational data. These days, itās popular to dunk on Classical Machine Learning. But Generative AI is still super niche. If youāre an ML beginner, learning fundamental algorithms like clustering, random forests, and featureā¦
Build These 2 AI/ML Projects 1. Implementing a research paper from scratch. Papers like Attention Is All You Need are fundamental to todayās technologies. Every ML enthusiast should code it up at least once. While this isnāt flashy or glamorous, it will solidify yourā¦
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