Blueprint to understand recent advances in natural language technology in a hands-on manner. Topics covered include transformers, language models (BERT, GPT-2), evaluation benchmarks, and conversational interfaces/chatbots.
In early June 2020, I decided to learn about the current state of NLP and correspondingly, role of (narrow) AI. My usual approach to understanding a topic is bottom-up. Understand the fundamentals thoroughly before starting out with a project. Constrained by time and inspired by a pedagogy promoted by the likes of Fast AI, I decided to go project-first instead.
A guiding philosophy and collection of frameworks for thinking about a startup co-founder.
Note: In addition to experience as an early startup employee, the below content has been derived through learnings from Ankur Warikoo’s Future Founders conference and the Entrepreneur First program.
Musings about inspiration, its importance for technological progress and a call for action to inspire those around you.
It had been less than a week since I had entered college. I was standing in front of a crowded computer lab full of starry-eyed freshers. A senior (final-year student) drew a curve on the blackboard. It was either a parabola or a line. Truth is I don’t really remember. Over the next 30 minutes, I listened to the senior to explain how computer science is deeply intertwined with maths. I was surprised to learn that even those not from a computer science program could benefit from learning to code.
