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SOLID principles are a set of five design principles intended to make object-oriented code more understandable, flexible, and maintainable. The acronym SOLID stands for: Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion. Here's a breakdown of each principle: 1. Single Responsibility Principle (SRP): A class should have only one reason to change, meaning it should have only one responsibility or task.  Example: A class responsible for managing user data and sending email notifications should be split into two separate classes, one for user management and another for email handling.  Benefits: Makes code easier to understand, modify, and test.  2. Open/Closed Principle (OCP): Software entities (classes, modules, functions, etc.) should be open for extension but closed for modification.  Example: Instead of modifying an existing class to add new functionality, create a new class that inherits from the existing one...

Yesterday, I spoke with a passionate Australian foodie in Melbourne, Victoria, Australia who, despite her dedication to bringing handmade pastries and authentic flavors to the city, felt her business was stuck. She initially believed that offering a creamy pastel de nata would attract more customers. However, in a city brimming with excellent Portuguese kitchens, true distinction comes from a unique voice, not just a common dish. Passion for food is a fantastic start, but clarity is the essential ingredient for success. With over a decade of experience teaching cooking classes, curating recipes, styling, and creating dining experiences in both Portugal and Spain, she also dreams of writing a cookbook. Yet, she faced significant roadblocks: Uncertain business direction. Struggling Instagram traction despite consistent posting. Overwhelmed by choices and unclear about her niche. Her challenge stemmed from an undefined IKIGAI . While she shared what she loved, it didn't always align w...

  Top 50 Large Language Model (LLM) Interview Questions Explore the key concepts, techniques, and challenges of Large Language Models (LLMs) with this comprehensive guide, crafted for AI enthusiasts and professionals preparing for interviews. Introduction Large Language Models (LLMs) are revolutionizing artificial intelligence, enabling applications from chatbots to automated content creation. This document compiles 50 essential interview questions, carefully curated to deepen your understanding of LLMs. Each question is paired with a detailed answer, blending technical insights with practical examples. Share this knowledge with your network to spark meaningful discussions in the AI community! 1               Question 1: What does tokenization entail, and why is it critical for LLMs? Tokenization involves breaking down text into smaller units, or tokens, such as words, subwords, or characters. For example,...