A few recorded lectures and guest talks — on large language models, linear algebra, and the odd detour into signal processing.
Guest Lecture · IIT Madras
Challenges and Opportunities in Building and Evaluating Indic LLMs
- Guest lecture delivered at an online event hosted by IIT Madras
Lecture · Deep Learning
Back Propagation Through Time (BPTT) for simple RNN
- If you are familiar with backpropagation for simple fully connected neural networks using computational graphs, then you can jump straight to 1:27.
Lecture · Linear Algebra
Application of Singular Value Decomposition (SVD) to Image Compression
- In this video, I show you how SVD could be applied to images (which are essentially a matrix of elements)
- We can use rank-k approximation to represent an image, which eventually leads to image compression
Lecture · Linear Algebra (தமிழ்)
Vector Space: Independence, Span, Projections (in Tamil)
- If you are in a hurry to conceptually understand the core Linear algebra concepts, then this video is for you.
- Prerequisites: Matrix, Vector, matrix-vector product
Lecture · Mathematics
Approximation is all you need: Fourier Transform
- Engineers only do approximations!
- In this video, I introduce you to one of the most profound mathematical transformations called the Fourier Transform.
- If you are too rigid about definitions, then in this video I talk about “The Fourier series”.