It was the steepest learning curve for me and I am cock-a-hoop that I successfully did it. It was my first in-office internship, working under the Defence Research and Development Organisation(DRDO), and most importantly I learned the ‘work discipline’, not gonna lie, I had the best experience I could get.
It was very helter-skelter for me from getting a confirmation for an internship at DRDO, Delhi to getting migrated to ‘Ghaziabad’ from my hometown ‘Rishikesh’ at my uncle’s house.
Believe me, traveling from Ghaziabad to Delhi was a herculean task for me as almost 4 hrs were going on in traveling (home <-> office).
Although I cannot share the details of the project I worked on in brief but my project was based on Deep Learning more specifically related to Natural Language and Processing (NLP).
So, I will be sharing my learning resources and the study material I found over the internet after a lot of surfing and reading, some of them were also recommended to me by the scientist at DRDO.
Intro to Deep Learning: https://www.kaggle.com/learn/intro-to-deep-learning
This course is a boost for understanding the basic pipeline of Deep Neural Networks and DL Models.
I’ll recommend brushing up on some ML concepts before reading this, you can go through this: https://www.javatpoint.com/basic-concepts-in-machine-learning
So, one of the best communities, or better say platform on AI models is https://huggingface.co/ from here you can learn, search different listed models, or can also contribute.
As my problem statement is from the domain of NLP, Transformers are in the action!
Follow this: https://huggingface.co/course/chapter0/1
Getting started with seq2seq Models, Attention, and Transformers might be the toughest learning curve you may have ever seen. I recommend studying these two blogs, for better clarity and understanding of these topics.
-> https://jalammar.github.io/illustrated-transformer/
There is huge content available on the internet, look at what fits you best and learn. Make sure don’t hurry, remember things take time.
I would like to bestow my sincere gratitude to the mentors and scientists under whom I worked.
Yes, all for now. Looking forward for more such journeys.
Disclaimer: I cannot share anything internal information about the internship like the name of the lab, the identity of authorities, and the project I worked on.
Connect with me: https://www.linkedin.com/in/aadijain7102/
