The Art and Science of Prompt Engineering Introduction Prompt engineering is essentially the art of crafting instructions for AI models, particularly large language models (LLMs). And Prompt Engineering evolves around the concept of discoveri... Tips & Tricks
Simplifying Customer Churn Prediction with Amazon SageMaker Canvas Use Case The Churn Customer dataset used for this analysis is a publicly available dataset obtained from Kaggle Churn Modelling . It encompasses comprehensive information about the customers of a bank... Tips & Tricks
From Data to Predictions: Simplifying ML with AWS SageMaker Autopilot In the era of modern technology, machine learning has become an integral part of various industries. To cater to the growing demand for automated machine learning (AutoML) solutions, AWS introduces AW... Tips & Tricks
Accelerate Your ML Projects with AWS SageMaker JumpStart: Pretrained Models at Your Fingertips AWS SageMaker JumpStart offers ready-to-use solutions for various machine learning use cases, allowing users to quickly get started with machine learning. The platform provides pretrained, open-source... Tips & Tricks
From Chaos to Clarity: Simplifying ML Data Preparation with AWS Sagemaker Data Wrangler Introduction To create a more reliable machine learning model, it is crucial to have substantial quantities of high-quality data. However, it is common for data to be flawed, containing missing inform... Tips & Tricks
How can E-Commerce benefit from Neural Search? Based on research conducted by Google, it is found that an estimated 3/4 of customers discontinue using a particular website if they fail to locate the desired item. This outcome could lead to a loss ... Tips & Tricks
When to Switch from API Gateway to Application Load Balancer? Introduction In the modern world of technology, APIs and microservices have become an essential part of software development. To manage these APIs, developers have the option of using the AWS API Gate... Tips & Tricks