Sharding Large Language Models: Achieving Efficient Distributed Inference
Techniques to load LLMs on smaller GPUs and enable parallel inference using Hugging Face Accelerate
Posts
Large Language Models and their Applications
Understanding the Large Language Models and their applications
Data Version Control
Setting Up Data Version Control (DVC) Experiment Tracking Workflow for Your Machine Learning Project
Text Sampling Techniques in Natural Language Processing
Understanding various text sampling techniques in NLP, their applications, pros-cons and how they can help control various aspects in LLMs
Foundation Models from Ground Up
Understanding the core of Large Language Models, a journey through evolution of various transformer models and their applications.
Variational Autoencoders
Advanced Generative Modeling
Grind 75 Questions
Grind 75 Questions for Interview Prep