QuantizationPart 2 — Introduction to Post Training Quantization (PTQ) Methods — GPTQ , GGLM and QLORA 4bit QuantizationAug 30, 20231Aug 30, 20231
Fine-Tuning with Finesse: Parameter Efficient Fine-Tuning (PEFT)Transformer-based architectures, such as GPT, T5, and BERT, belonging to the category of Large Language Models (LLMs), have demonstrated…Aug 16, 2023Aug 16, 2023
How do machines learn meaning ?Word Sense Disambiguation ( From Sheldon to Chandler😅 )Nov 22, 2020Nov 22, 2020
Neural network for text processingWhen we hear about Convolutional Neural Network (CNNs), we typically think of Computer Vision but we can also apply CNNs to problems in…Nov 1, 2020Nov 1, 2020
Recurrent Neural Networks (RNNs)“Recurrent neural networks are variants of the vanilla neural networks which are tailored to learn sequential patterns.”Oct 18, 2020Oct 18, 2020
Residual Networks (ResNet)Until about 2014 (when the GoogleNet was introduced), the most significant improvements in deep learning had appeared in the form of…Oct 13, 2020Oct 13, 2020
