Prabhu SrivastavaFine-Tuning AI Models: A GuideFine-tuning is a technique for adapting a pre-trained machine learning model to new data or tasks. Rather than training a model from…Jul 22, 20232Jul 22, 20232
Prabhu SrivastavaRevolutionizing Natural Language Processing: The Unveiling of TransformerThe field of Natural Language Processing (NLP) has witnessed remarkable progress over the past century, with numerous researchers…May 26, 2023May 26, 2023
Prabhu SrivastavaGenerative vs. Discriminative Modeling: Understanding the Difference and Why it MattersWhen it comes to machine learning, there are two broad approaches to solving problems: generative and discriminative modeling. While…May 19, 2023May 19, 2023
Prabhu SrivastavaSpaCy vs. NLTK: A Comprehensive Comparison of Two Popular NLP Libraries in Python”When it comes to Natural Language Processing (NLP) in Python, two popular libraries that are often compared are spaCy and NLTK. Both…Apr 29, 2023Apr 29, 2023
Prabhu SrivastavaDeep Learning: Limitations and Challenges for NLP TasksDeep learning (DL) has revolutionized natural language processing (NLP) with its incredible advancements in text classification, entity…Apr 28, 2023Apr 28, 2023
Prabhu SrivastavaThe Role of Morphemes and Lexemes in Natural Language ProcessingIntroduction:Apr 27, 2023Apr 27, 2023
Prabhu SrivastavaUnderstanding Basic Vectorization Approaches: One-Hot Encoding, Bag of Words, Bag of N-Grams, and…IntroductionApr 26, 2023Apr 26, 2023
Prabhu SrivastavaUnleashing the Power of Feature Engineering for Text Data: Challenges and SolutionsIntroduction:Apr 25, 2023Apr 25, 2023
Prabhu SrivastavaUnderstanding One-Hot Encoding in Machine LearningIntroductionApr 24, 2023Apr 24, 2023