Dev Pirate

Any part - time developers?

What are the things that you will do to stay consistent in your work?

Experience or skill ?

what is this delulu solulu..?

Which AI tools do you use for more productivity ?

People be like:- Let's connect bro And they didn't even follow Bro what the meaning of let's connect then

Google is on a downfall and might become a legacy company as compared to the new high tech cool company. •⁠Google cloud sucks as compared to Azure and AWS. •⁠Pixel phones have heating and network issues. •⁠Gemini s*cks, open source models will be way better.

#letsconnect #dailyCoder #Ai

Deep Learning became popular because of huge data, powerful GPUs, and better algorithms. More data + more compute = smarter models. That’s the real reason behind today’s AI boom. 🚀

Average Word2Vec Instead of one-hot or TF-IDF, each word has a dense vector. Sentence representation = average of all word vectors. Simple ✔️ Keeps semantic meaning ✔️ But loses word order ❌ Good baseline, not the final answer. #Word2Vec #NLP #GenAIJourney #LearningInPublic

Restday++

Anyone started to learn about AI at 2026? If yes, We can connect..

Happy New Year, everyone!

Wassup buds...!

Day 10 | TF-IDF Learned how NLP measures word importance in text. TF → frequency in a document IDF → down-weights common words Pros: intuitive, captures importance Cons: sparse vectors, OOV issue Small concept, big impact. #Day10 #TFIDF #NLP #GenAIJourney #LearningInPublic

Day 9 – Progress Check What changed in 9 days: Fear ↓ Clarity ↑ Curiosity ↑↑ Still a beginner. Still confused sometimes. But no longer stuck. Consistency > Motivation. Onwards 🚀 #Day9 #LearningInPublic #GenAIJourney

Day 7 – OOP Concepts Refresh Revisited: Inheritance Polymorphism Code reusability AI code also needs: clean design > quick hacks Old concepts suddenly feel very relevant again. #Day7 #PythonOOP #GenAI

Day 6 – Backend for AI Explored: Flask FastAPI How ML models get exposed as APIs AI is useless if you can’t serve it. Learning how “model → product” actually happens. #Day6 #FastAPI #MLDeployment

Day 5 – Python Revisions (AI Prep) Revised: Files Datetime Multithreading APIs Realization: Strong GenAI needs strong Python fundamentals. Skipping basics is the biggest mistake. #Day5 #Python #GenAIJourney

Day 4 – One Hot Encoding Learned: What is One Hot Encoding Advantages & limitations Simple but powerful idea: More features ≠ better always. Vocabulary size matters more than I thought. #Day4 #MachineLearning #NLP