I'm seeing the opposite: high performing developers who I respect adding these tools to their workflow and gaining performance as a result What have you learned that makes you think they are bad for beginners?
EDUCATION
-
AI Makes Programming Learning Curve Less Steep and Accessible
By
–
I've seen many people give up on learning to program entirely because that struggle is so miserable – I'm excited that we have a learning curve that's less of an impenetrable cliff now
-
NeurIPS Introduces Preschool Track for Machine Learning Research
By
–
Announcing NeurIPS Preschool Track This year, we invite preschoolers to submit machine learning research papers.
-
AI’s Versatile Impact on Competitive Exams Like GATE
By
–
As I always say AI is a versatile technology and it will used in many domains. Now its time to create impact in competitive exams like Gate. Happy to see a student securing an amazing rank.
-
Programming: Thinking Over Syntax, Outsourcing Thinking Fails
By
–
Programming is thinking + syntax. Maybe 90% thinking and 10% syntax. While you can automate away syntax, you can only ever outsource thinking to someone/something that can think. Attempts to outsource thinking to a syntax generator do not end well.
-
AI Detection in Writing: CAPTCHA for Authors and Education
By
–
Just checked my new book and the only times the word "delve" is used is when I am quoting GPT-4. Phew. Its like CAPTCHA for authors (but also prone to false positives, which is why accurate AI detection in school settings in nearly impossible)
-
Bacon-Erdös Number: Academic Collaboration Scoring System
By
–
Also still the best way to keep score in academia. I have a Bacon-Erdös number of 9, one of my proudest accomplishments.
-
Academic counseling for AI career track selection
By
–
I saw a youtube review from an ex student about speaking to a counsellor on clarity of which track to focus on within our interests. Is that still available?
-
Python ML MLOps CV NLP LLMs Daily Tutorials
By
–
If you are interested in: – Python – Machine Learning – MLOps – CV/NLP – LLMs Find me → @Sumanth_077 Everyday, I share tutorials on above topics! Like/RT the first tweet to help this reach more people!
-
Kaggle: Access Thousands of Free Datasets for Data Analysis
By
–
2. Kaggle No Introduction is required to kaggle, you can find 1000's datasets which you can download and use for free https://
kaggle.com/datasets