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      Why Cloud ?    Cloud computing is a paradigm in computing that involves the delivery of various computing services including storage, processing power and applications over the internet . Instead of relying on local servers or personal computers to handle computing tasks, users can access and utilize a shared pool of resources provided by third-party service providers. These services are hosted in remote data centers commonly referred to as the "cloud" and are made available to users on a pay-as-you-go or subscription basis. Cloud computing encompasses a range of services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS ).    IaaS provides virtualized computing resources, PaaS offers a platform for application development and deployment, and SaaS delivers software applications over the internet.     Benefits such as cost efficiency, scalability, flexibility, acc...

  Prompt engineering at an advanced level involves crafting sophisticated and precise prompts to elicit desired responses from natural language processing models . This process requires a deep understanding of the model's capabilities, limitations and the nuances of language.  Key Aspects :  Precision and Clarity: Crafting prompts that are clear, concise and unambiguous is crucial. Ambiguous or vague prompts can lead to unpredictable or undesired outputs. Basic Prompt: "Translate the following English text into French." Advanced Prompt: "Provide a fluent French translation for the following English sentence: 'The intricate relationship between quantum mechanics and general relativity challenges our understanding of the fundamental nature of the universe.'" Context Awareness: Understanding how context influences responses is vital. Incorporating relevant context in prompts can guide the model to provide more contextually appropriate and ...

  Cloud computing is a technology model that enables convenient, on-demand access to a shared pool of computing resources (such as servers, storage, networking, databases, applications, and services) over the internet. Instead of owning and maintaining physical hardware and infrastructure, users can access and use computing resources on a pay-as-you-go basis, similar to a utility service.  Cloud computing also has deployment models, indicating how cloud services are hosted and made available to users: Public Cloud: Services are provided over the public internet and are available to anyone who wants to use or purchase them. Examples include AWS, Azure, and Google Cloud. Private Cloud: Cloud resources are used exclusively by a single organization. Private clouds can be hosted on-premises or by a third-party provider. Hybrid Cloud: Combines elements of both public and private clouds. It allows data and applications to be shared between them, offering greater flexibility a...

 Prompt engineering refers to the process of designing and formulating prompts that yield desirable responses from language models and other automated systems. At this level, individuals are expected to have a solid understanding of the principles and techniques involved in crafting effective prompts for various applications.  Important aspects :   Syntax and Structure: Proficiency in constructing prompts with proper syntax and structure is crucial. This involves understanding the grammar rules and ensuring that the prompts are clear and unambiguous. Semantic Understanding: Intermediate prompt engineers should have a good grasp of semantic nuances. This involves selecting words and phrasing that convey the intended meaning accurately and avoiding ambiguity that might lead to unexpected or undesired outputs. Domain Knowledge: Depending on the application, prompt engineers at this level are expected to possess relevant domain knowledge. Whether it's in natur...

  In prompt engineering, Level 1 involves crafting simple and direct instructions or queries for the model. Users interact with the language model by providing specific prompts, and the model generates responses based on the input it receives. Level 2 refers to a more advanced or nuanced stage in the development of prompts for language models like GPT, Bard, etc. At this level, it implies a deeper understanding of how to fine-tune prompts for more complex tasks. This involves using techniques beyond basic prompt formulation, such as leveraging the model's capabilities to handle multi-step instructions, infer implicit context, or generate creative outputs.  Some important techniques :  Contextual Input and Explicit Instruction Multi-Turn Conversations and Context Management Task-Specific Optimization Creative Prompt Formulation Iterative Refinement and Evaluation Ethical Considerations and Bias Mitigation Handling Ambiguity and Edge Cases   Contextual Input an...

 What is prompt engineering ?   Prompt engineering refers to the practice of carefully crafting input prompts or instructions given to a generative AI model to guide its output in a desired direction. It involves choosing words, structuring sentences, and providing context in a way that influences the behavior of the model and helps achieve specific outcomes. Prompt engineering is crucial for effectively using generative AI systems, such as language models, to produce outputs that meet particular criteria or address specific tasks. Generative AI refers to a category of artificial intelligence systems that have the capability to generate new, original content, often in the form of images, text, or other types of data. These systems use machine learning techniques to understand patterns and structures in the data they are trained on and then generate new data that resembles that training data. The goal is to create content that is not directly copied but is in...

  SQL stands for Structured Query Language SQL lets you access and manipulate databases   A  SQL database is a collection of tables that stores a specific set of structured data. Database Management Systems (DBMS) are software systems used to store, retrieve and run queries on data . A DBMS serves as an interface between an end-user and a database, allowing users to create, read, update, and delete data in the database. eg : MySQL, Oracle DB, etc.  RDBMS stands for Relational Database Management System . RDBMS is a program used to maintain a relational database. RDBMS uses SQL queries to access the data in the database. Types of Commands Available in SQL :  Data Definition Language  Data Manipulation Language  Data Query Language  Data Control Language  Transactional Control Language    Data Definition Language : Set of commands used to create and modify the structure of database objects in a database. create, alter, drop, trunca...