Token Embedding Pruning for Sentence Transformers
Can we shrink embedding models by removing redundant token embeddings?
Can we shrink embedding models by removing redundant token embeddings?
Triplet Loss and Online triplet mining for metric learning
Explore Greedy, Top P and Top K sampling strategies in Generative Language Models
Let’s implement a Transformer Decoder Layer from scratch using Pytorch
Let’s implement a Transformer Encoder Layer from scratch using Pytorch
Understand why masking is needed in Transformer Encoder and Decoder networks and how they are used
Let’s implement Multi-Head Attention from scratch with visual examples
Let’s explore why we need non-linear activation functions in Neural Networks
Learn the algorithm that powers machine learning models such as LLMs and Diffisuion models
Train a NER model with your own data using Huggingface transformers library
Learn how to fine tune a model to compute image similarity using Triplet loss
Learn how to use deep neural networks to implement image search