LifeMetrics in Information RetrievalIn information retrieval various metrics are used to evaluate the different aspects of performance of the retrieval systems or algorithms…Mar 1Mar 1
LifeDistributed Model Training MethodsAs contemporary deep learning models expand in both architectural complexity and the volume of data they train on, the necessity for…Feb 28Feb 28
LifeDecoding Strategies in NLPDecoding strategies in NLP refers to the methods used to select the next output token during the generation process. Some common decoding…Feb 21Feb 21
LifeTemperature in Generative modelsTemperature is a parameter in NLP generation models which affects the probability distribution of the generated text. In other words, it…Feb 201Feb 201
LifeBias Variance Tradeoff in Machine LearningIn Machine Learning we try to model the dataset in a way to minimize error, which is represented asFeb 6Feb 6
LifeWork from home or work from office?In this blog I write about my views on working from home vs office as a software engineer and why I feel that a hybrid model is really the…Oct 15, 2022Oct 15, 2022