PinnedFeature Extraction in CNNOften times times you wonder what happens behind the scenes or what happens when we pass the input onto each layer. The following code snippet illustrates how to gain insights into what happens behind the scenes and how the input is processed through each layer. …Cnn Model5 min readCnn Model5 min read
4 days agoCustomer Churn: Understanding Customer AttritionCustomer churn (or customer attrition) refers to the loss of customers or subscribers for any reason at all. Businesses measure and track churn as a percentage of lost customers compared to the total number of customers over a given period. This metric is usually tracked monthly and reported at the…Customer Engagement4 min readCustomer Engagement4 min read
Nov 25T5: OverviewDeveloped by researchers at Google AI, T5 represents a paradigm shift in the approach to language understanding and generation. In this article, we’ll delve into the core principles of T5, its innovative text-to-text framework, and its impact on various NLP applications. Concept T5 is built upon the transformer architecture, which has…T53 min readT53 min read
Nov 25GPT: OverviewDeveloped by OpenAI, GPT has emerged as a groundbreaking model, showcasing the vast potential of pre-trained transformer architectures. In this article, we’ll explore the fundamentals of GPT, its transformative impact on language processing, and its implications for diverse applications. Decoder Only Models GPT (Generative Pre-trained Transformers)Gpt2 min readGpt2 min read
Nov 25BERT: OverviewDeveloped by Google, BERT has revolutionized the way machines understand and process human language. In this article, we’ll delve into the key concepts behind BERT, its impact on NLP, and its implications for various applications. Concept BERT, introduced in a research paper by Google AI researchers in 2018, stands out for…Bert2 min readBert2 min read
Nov 18RFM Analysis: Identify Valuable CustomersRFM analysis is a marketing technique that uses customer behavior data to identify and target the most valuable customers. RFM stands for recency, frequency, and monetary value.Customer Engagement3 min readCustomer Engagement3 min read
Nov 13Demystifying the parameters that affect the output of Large Language ModelsLarge Language Models (LLMs) are machine learning models trained on a massive amount of text data to generate human-like text or perform language-related tasks. These models are designed to understand and generate text in a way that mimics human language patterns and structures and can be thought of as the…Large Language Models3 min readLarge Language Models3 min read
Oct 25AWS Machine Learning Specialty Exam: A Comprehensive GuideAre you ready to embark on a journey towards becoming an AWS Certified Machine Learning Specialist? Buckle up, because, in this article, I’ll guide you through my own transformation from a complete AWS novice to achieving success in the AWS Machine Learning Specialty exam. Starting from Ground Zero Before I…AWS3 min readAWS3 min read
Sep 27Text Generation v/s Text2Text GenerationText Generation Text Generation, also known as Causal Language Modeling, is the process of generating text that closely resembles human writing. It utilizes a Decoder-only architecture and operates in a left-to-right context. Text Generation is often employed for tasks such as sentence completion and generating the next lines of poetry…Transformers2 min readTransformers2 min read
Sep 25Transformers — An IntuitionTransformers came into the picture with the paper titled ‘Attention is All You Need.’ Transformers feature an encoder-decoder architecture that is used for Neural Machine Translation, which involves translating text from one language to another. Various researchers have used these encoder-decoder models to construct different language models capable of performing…Transformers3 min readTransformers3 min read
