<aside> ⚠️ This is basically a dump of all the things that I am learning or working on. I personally find it hard to start a blog and finish it, mostly because I am juggling with a lot of tools between academics, work, and interview preparation. This will for sure change in future. But until then, I will dump all my learnings here.

</aside>

LLMs


Prompt Engineering

Training and Fine-tuning LLMS (W&B)

LLMs - New Research

LLMOps

30 Days of LLMs

ML & DL


Distributed Training in Pytorch

TorchServe

Efficient ML - MIT

Loss Functions

Designing ML Systems

The 100 page ML Book

DevOps


Docker

Terraform

Kubernetes

Databases and DE


Redis

Postgres SQL

Elastic Stack

Designing Data Intensive Applications

Snowflake

Snowflake Engine vs Apache Spark

Spark

Software Engg.


Thinking in C++

Fraud Detection

AWS Cost Optimization

Today I Learned (TIL)

Making a case for search databases

DSA

Applied LLMs