Javaid NabiAll You Need To Know About LLM Text GenerationVarious decoding strategies and how they impact text generationApr 9Apr 9
Javaid NabiEfficient Generative Large Language Model ServingChallenges in Serving & Recent Optimization TechniquesMar 27Mar 27
Javaid NabiinTowards Data ScienceIn-Context Learning Approaches in Large Language ModelsSimple and powerful techniques to make LLMs learn new tasks at inference timeJul 1, 20233Jul 1, 20233
Javaid NabiHow to Navigate the Current AI Technology Onslaught?If you are still talking about ChatGPT, you are living under a rock. We have a new toy [GPT4] in the market.Mar 17, 2023Mar 17, 2023
Javaid NabiinTowards Data ScienceBuilding and Managing Data Science TeamsMost organizations enabled by massive increase in the amount and variety data are already using data science to understand their business…Mar 15, 2020Mar 15, 2020
Javaid NabiinTowards Data SciencePyTorch for Deep Learning: A Quick Guide for StartersIn 2019, the war for ML frameworks has two main contenders: PyTorch and TensorFlow. There is a growing adoption of PyTorch by researchers…Dec 8, 20192Dec 8, 20192
Javaid NabiinTowards Data ScienceRecurrent Neural Networks (RNNs)Implementing an RNN from scratch in Python.Jul 11, 201910Jul 11, 201910
Javaid NabiinTowards Data ScienceEstimators, Loss Functions, Optimizers —Core of ML AlgorithmsIn order to understand how a machine learning algorithm learns from data to predict an outcome, it is essential to understand the…May 24, 20191May 24, 20191
Javaid NabiinTowards Data ScienceBuilding a Multi-label Text Classifier using BERT and TensorFlowIn a multi-label classification problem, the training set is composed of instances each can be assigned with multiple categories…May 11, 201913May 11, 201913
Javaid NabiinTowards Data ScienceHyper-parameter Tuning Techniques in Deep LearningThe process of setting the hyper-parameters requires expertise and extensive trial and error. There are no simple and easy ways to set…Mar 16, 20193Mar 16, 20193