Vibe Coding vs Traditional Coding Should Kids Still Learn to Code #podcast
Key Takeaways
Abhishek Thakur discusses the benefits of vibe coding over traditional coding for kids, sharing his personal experience of struggling to learn coding through traditional methods and how vibe coding can make learning more engaging and accessible.
Full Transcript
Yeah, I'm making sure that students learn learn vibe coding. I think my and and this is sort of biased by my own personal experience. Like I think I and I've told this story before in other places, but like I you know, I was inspired to try to create software. I sort of took the initial step of trying to make that happen, watched a bunch of YouTube videos, and this was like pre any amount of education that I had actually done in the area. Um and like failed, you know, wonderfully and was never able to make anything actually work. Like I spent many many uh you know, I was trying to build an iOS app. I would go to the library in my city because I didn't have a Mac. Um and sort of spend time watching videos and trying to do stuff, and you couldn't save files on those computers. So I had to sort of come up with some crazy way to try to save my work so that I could keep coming back to it. Um and all that stuff like never built anything that actually worked. Uh and like the code never even ran, but I was sort of like inspired and thankfully was persistent enough to like continue. Um and then ultimately studied computer science and started learning C++ and was miserable because C++ is not that fun to program in and what they have you learn in some of these intro CS classes um is just like not that exciting. And like all of that's to say I think the current way that people learn software and programming, especially kids and everything else like that, is you sort of have to um you know, you have to expend disbelief that you can actually build something interesting. Uh like kid like I think a lot of kids are like, "I want to make video games." Like that's what got me excited. Initially, it's what my little brother who studied computer science, same thing. Like he was like, "I want to make video games." Um and you're so off when you start learning to code from being able to build video games. And I feel like vibe coding is this way to like make it more visceral that like you're actually close and you're able to build this stuff. Um and like get more and more people excited about what's possible building software. Um so I I still think folks should learn how to code.
Original Description
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Episode 1.1: Intro and building a machine learning framework
Abhishek Thakur
Episode 1.2: Building an inference for the machine learning framework
Abhishek Thakur
Episode 2: A Cross Validation Framework
Abhishek Thakur
Tips N Tricks #2: Setting up development environment for machine learning
Abhishek Thakur
Episode 3: Handling Categorical Features in Machine Learning Problems
Abhishek Thakur
BERT on Steroids: Fine-tuning BERT for a dataset using PyTorch and Google Cloud TPUs
Abhishek Thakur
Special Announcement: Approaching (almost) any machine learning problem
Abhishek Thakur
Training BERT Language Model From Scratch On TPUs
Abhishek Thakur
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)
Abhishek Thakur
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-2)
Abhishek Thakur
Episode 4: Simple and Basic Binary Classification Metrics
Abhishek Thakur
Training Sentiment Model Using BERT and Serving it with Flask API
Abhishek Thakur
Episode 5: Entity Embeddings for Categorical Variables
Abhishek Thakur
Tips N Tricks #5: 3 Simple and Easy Ways to Cache Functions in Python
Abhishek Thakur
Multi-Lingual Toxic Comment Classification using BERT and TPUs with PyTorch
Abhishek Thakur
Text Extraction From a Corpus Using BERT (AKA Question Answering)
Abhishek Thakur
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
Abhishek Thakur
Data Processing For Question & Answering Systems: BERT vs. RoBERTa
Abhishek Thakur
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Abhishek Thakur
Sentencepiece Tokenizer With Offsets For T5, ALBERT, XLM-RoBERTa And Many More
Abhishek Thakur
Talks # 1:Andrey Lukyanenko - Handwritten digit recognition w/ a twist & topic modelling over time
Abhishek Thakur
Episode 6: Simple and Basic Evaluation Metrics For Regression
Abhishek Thakur
Talks # 2: Subhaditya Mukherjee - Image restoration using Deep Learning: Dehazing
Abhishek Thakur
Basic git commands everyone should know about
Abhishek Thakur
How do I start my career in Data Science?
Abhishek Thakur
Talks # 3: Lorenzo Ampil - Introduction to T5 for Sentiment Span Extraction
Abhishek Thakur
Detecting Skin Cancer (Melanoma) With Deep Learning
Abhishek Thakur
Talks # 4: Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning
Abhishek Thakur
Build a web-app to serve a deep learning model for skin cancer detection
Abhishek Thakur
Talks # 5: Parul Pandey: Data Science, Diversity and Kaggle
Abhishek Thakur
Implementing original U-Net from scratch using PyTorch
Abhishek Thakur
Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6
Abhishek Thakur
Talks # 6: Mani Sarkar: From backend development to machine learning
Abhishek Thakur
Dockerizing the skin cancer detection web application
Abhishek Thakur
How to train a deep learning model using docker?
Abhishek Thakur
Building an entity extraction model using BERT
Abhishek Thakur
Train custom object detection model with YOLO V5
Abhishek Thakur
Talks # 7: Moez Ali: Machine learning with PyCaret
Abhishek Thakur
How to convert almost any PyTorch model to ONNX and serve it using flask
Abhishek Thakur
Hyperparameter Optimization: This Tutorial Is All You Need
Abhishek Thakur
I finally got a copy of "Approaching (Almost) Any Machine Learning Problem"
Abhishek Thakur
Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)
Abhishek Thakur
Live Q&A: Getting Started With Data Science
Abhishek Thakur
WTFML: Simple, reusable code for PyTorch models
Abhishek Thakur
Talks # 8: Sebastián Ramírez; Build a machine learning API from scratch with FastAPI
Abhishek Thakur
Data Science PC Configs: From Low Range to Super-High Range
Abhishek Thakur
BERT Model Architectures For Semantic Similarity
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I just got access to GitHub's Codespaces and it's amazing!
Abhishek Thakur
Talks # 9: Vladimir Iglovikov; Detecting Masked Faces In The Pandemic World
Abhishek Thakur
Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio)
Abhishek Thakur
Docker For Data Scientists
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How To Become A Data Scientist In 1 Year (Learn From A Real World Example)
Abhishek Thakur
Talks # 10: Tanishq Abraham; What are CycleGANs? (a novel deep learning tool in pathology)
Abhishek Thakur
Deploy Any Machine Learning Or Deep Learning Model On Google Cloud Platform (App Engine)
Abhishek Thakur
Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko
Abhishek Thakur
VS Code (codeserver) on Google Colab / Kaggle / Anywhere
Abhishek Thakur
Talks # 11: Jean-François Puget; Did you know GPUs are not just for Deep Learning?
Abhishek Thakur
End-to-End: Automated Hyperparameter Tuning For Deep Neural Networks
Abhishek Thakur
Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes
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Ensembling, Blending & Stacking
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