#Deep Learning Algorithms

I’ve been asked many times where to start learning ML, so after talking to so many experts in this field, this is a good place to start. Comment down below “TRAIN” and I’ll send you a more in-depth checklist along with the best GitHub links to help you start learning each concept. If you don’t receive the link you either need to follow first then comment, or your instagram is outdated. Either way, no worries. send me a dm and I’ll get it to you ASAP. #cs #ai #dev #university #softwareengineer #viral #advice #machinelearning

The stages of AI explained. The last one changes everything—for better or worse

Machine learning relies heavily on mathematical foundations. #tech #ml #explore #fyp #ai

Building your own ChatGPT-like model at small scale is more achievable than you think. In Large Language Model lots of dataset and compute is required but the core structure of transformers remains same. 3 free resources that actually work — LLM basics, build from scratch, full training pipeline with fine-tuning. Comment “LLM” and I’ll DM you all the links. #llm #gpt #machinelearning #deeplearning #aiforbeginners

Linear regression is a simple yet powerful statistical method used to understand the relationship between two variables. It involves finding the best-fitting straight line through a set of data points. This line, called the regression line, is used to predict the value of one variable based on the value of another. For example, if you’re looking at the relationship between hours studied and test scores, linear regression can help predict test scores based on the number of hours studied. It’s like drawing a line that best represents the trend in your data, making it easier to see and predict relationships. C: @3blue1brown #machinelearning #math #datascience #coding

Anzeige / How to use AI in an anti-brainrot way. Because always remember: don’t use technology to think FOR you, use it to think BETTER!🌟 @claudeai #claudepartner

AI is powerful, I use it too!!! But if you let it do all the thinking..your brain stops learning. Real growth happens when you struggle a little, connect the dots, and make sense of things yourself. My suggestion would be to use AI for refining your ideas and the initial "thinking" should be done on a notebook or in writing form. You can watch a detailed analysis of this concept on @drjustinsung YouTube channel🙌🏻

5 YouTube Videos that’ll make you understand everything about AI: After watching numerous videos, I’ve narrowed it down to these 5 that I found to be the most insightful: If you want to get guidance on job search and remote job opportunities, follow me @thinksage.in (MUST) 👍 1️⃣ Generative AI in a Nutshell By Henrik Kniberg: https://youtu.be/2IK3DFHRFfw?si=CbsJtmfLRNJUblyD 2️⃣ AI, Machine Learning, Deep Learning and Generative AI Explained: https://youtu.be/qYNweeDHiyU?si=hNhZK1Xg9WclWEhk 3️⃣ What Is an AI Anyway by Mustafa Suleyman: https://youtu.be/KKNCiRWd_j0?si=s2HDpoxBp5dNYeK4 4️⃣ What is generative AI and how does it work by Mirella Lapata: https://youtu.be/_6R7Ym6Vy_I?si=SPwUGeJsDNmQtQvx 5️⃣ AI and the Future of Humanity by Yuval Noah Harari: https://youtu.be/LWiM-LuRe6w?si=gjhEv_MxPLxX6rR9 Do watch them. Follow me @thinksage.in for more such videos on Job search and career growth. ~ Vijay Sir #AI #Careergrowth #thinksage

Neural networks and machine learning.

3 Next-Level AI Tools You Should Know 👀 #techreels #trendingreels #cybersecurity #ethicalhacking #internetsecurity #coding This video is for educational & awareness purposes only. No hacking or illegal activity is promoted.

Make sure to pause at the diagrammatic charts I included in the episode. I cannot argue enough on how bad my editing skills are. Will try to figure out a way asap 🫶🏼✨ But here’s Wrapping Up Day 02 in our 50 Day Challenge of Learning Generative AI 💻 We have covered all the 6 types of Generative AI that power everything from ChatGPT to DALL-E! Remember - GANs are art forgers competing to perfection, VAEs are compression artists creating smooth transitions, Autoregressive models predict one word at a time super fast, RNNs struggle with memory but LSTMs fix it with gates, Transformers connect everything instantly with attention, and Reinforcement Learning trains AI like a dog with human feedback. These aren’t just separate technologies anymore, they’re combining into multimodal AI that can see, hear, write, and create all at once! Tomorrow we’re diving deep into this Multimodal Magic that explains how AI is learning to juggle text, images, audio, and video simultaneously 🚀​​​​​​​​​​​​​​​​ 🏷️ Day 2, 50 Day Challenge, Generative Al, Artificial Intelligence, Al, Large Language Models, OpenAl, Al Evolution, Important Concepts, Series, Al Series