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Medium

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Hello, my name is Eva

  • The hospitality industry is incorporating AI-powered interactive kiosks with voice and face recognition technology to enhance guest experiences.
  • These AI-powered kiosks are revolutionizing the check-in and check-out processes, offering faster, more efficient, and personalized services to hotel guests.
  • They provide personalized experiences by accessing guests' past preferences, room preferences, special requests, and loyalty program status.
  • The integration of AI-powered kiosks in the hospitality industry ensures competitiveness, meets current demands, and prepares for future advancements in guest experience and operational efficiency.

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Medium

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Hello, my name is Eva -I’m ChatGPT with a friendly face

  • The hospitality industry is adopting AI-powered interactive kiosks with voice and face recognition technology to enhance guest experiences.
  • These AI kiosks revolutionize traditional check-in/out processes, offering faster, more efficient, and personalized services like ChatGPT with a friendly face.
  • A key feature of AI kiosks is their ability to provide personalized experiences by accessing guests' preferences, special requests, and loyalty program status.
  • The integration of AI kiosks in hotels ensures competitiveness by meeting current service demands and preparing for future advancements in guest experience and operational efficiency.

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Dev

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How to Sync Two TaskListView Instances in SwiftUI?

  • Maintaining synchronized state across instances of TaskListView in SwiftUI is crucial for real-time data updates.
  • Using @ObservableObject and a shared model like TaskModel can help in ensuring state changes reflect across all instances of TaskListView.
  • Key steps include creating a Task Model conforming to ObservableObject, updating TaskListView to use the TaskModel, and synchronizing TaskRow to relay state changes back to the TaskModel.
  • By implementing centralized state management with ObservableObject, SwiftUI apps can provide a seamless and efficient user experience in managing tasks across multiple instances of TaskListView.

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Self-Learning-Java

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Reading Request Cookies as a Map in Javalin

  • The context#cookieMap method returns a map with all the request cookie keys and values.
  • Steps to create a new Maven project 'javalin-read-request-cookies-as-map' and update the pom.xml with the necessary dependencies.
  • Includes the definition of JsonUtil class and main application class (App.java) with code snippets.
  • Demonstrates how to build and run the application, along with testing the API to read request cookies as a map.

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Self-Learning-Java

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Reading a Request Cookie by Name in Javalin

  • The Context#cookie method in Javalin is used to return the value of a request cookie by name.
  • To implement this functionality, you can create a new Maven project named 'javalin-read-request-cookie-by-name' and update the pom.xml file with the necessary Maven dependencies.
  • You can define a JsonUtil class to handle JSON serialization and a main application class named App.java to set up Javalin routes for reading request cookies by name.
  • After building the project and running the application, you can test the API using a tool like curl to verify the functionality.

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25 Likes

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Self-Learning-Java

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435

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Few-Shot Prompting: A Beginner's Guide with Examples, Pros, and Cons

  • Few-shot prompting is a powerful tool for guiding Large Language Models (LLMs) like ChatGPT by providing 1 or more examples of desired input-output behavior within the prompt.
  • Examples of few-shot prompting include tasks like sentiment analysis and email reply generation where a few example pairs of input and output guide the model's behavior.
  • Advantages of few-shot prompting include flexibility in adapting to tasks, reduced effort in crafting specific prompts, and improved accuracy in generating responses.
  • Limitations of few-shot prompting include context window restrictions, trial and error in finding the right examples, and dependence on the quality of examples selected.

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Logrocket

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Leader Spotlight: Creating comprehensive product requirements, with Rangarakesh Kanchamreddy

  • Rangarakesh Kanchamreddy is VP of Product Management at Way.com, India, with experience in various companies like Jio and Idea Cellular.
  • He emphasizes understanding user segments, stakeholder needs, and creating differentiated experiences in product requirements.
  • Rangarakesh discusses balancing business needs, technical feasibility, and user experience in new product initiatives.
  • He shares insights on creating a standardized product requirements process using templates and early collaboration.
  • Rangarakesh highlights the importance of considering various user segments, lifecycles, and constraints during requirement definition.
  • He explains the approach taken at Way.com to offer differentiated experiences, like the Way Plus membership benefits.
  • The standardization of product requirements involves tools, frameworks, and templates to align teams and understand user context.
  • Collaboration with UX teams in creating user flows and aligning design and functionality is crucial for better user experiences.
  • Prioritizing user needs based on adoption rates, competition analysis, and frameworks like the eighty-ten-five-one rule is essential.
  • Rangarakesh emphasizes documenting decisions, tracking user interactions, and using data for informed product development choices.

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Self-Learning-Java

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Exploring Zero-Shot Prompting in Large Language Models: Examples, Pros, and Cons

  • Zero-shot prompting is a direct way of interacting with Large Language Models without the need for examples or extra context.
  • Examples of zero-shot prompting include creative writing, question answering, summarization, classification, language translation, coding, and explanation tasks.
  • Pros of zero-shot prompting include flexibility across tasks, time and resource efficiency, and fast prototyping and exploration.
  • Cons include performance dependence on prompt quality, limitation to pre-trained knowledge, and difficulty with complex or multi-step tasks.

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Towards Data Science

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Retrieval Augmented Classification: Improving Text Classification with External Knowledge

  • Text Classification is crucial for various NLP applications, including spam filtering and chatbot categorization.
  • Utilizing Large Language Models (LLMs) like zero-shot classifiers can expedite text classification deployment.
  • LLMs excel in low-data scenarios and multi-language tasks but require prompt tuning for optimal performance.
  • Custom ML models offer flexibility and accuracy in high data regimes but demand retraining and substantial labeled data.
  • Retrieval Augmented Generation (RAG) and Few-shot prompting aim to combine LLMs' benefits with custom models' precision.
  • RAG incorporates external knowledge, enhancing LLM responses and reducing inaccuracies.
  • The method involves curating a knowledge base, finding K-nearest neighbors for input texts, and employing an augmented classifier.
  • The combined approach offers dynamic classification with improved accuracy but may incur higher latency and lower throughput.
  • Evaluation against a KNN classifier shows enhanced accuracy (+9%) but with trade-offs in speed and performance.
  • The method is valuable for agile deployments and situations with limited labeled data, offering quick setup and dynamic adjustments.

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Dev

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CSS Clamp: Tools That Make Fluid Design Effortless

  • Responsive design used to involve endless media queries and trial-and-error, but now CSS offers a better solution: the power of clamp().
  • Tools for clamp() help boost productivity, write cleaner CSS, and build fluid layouts with fewer breakpoints, making design decisions easier.
  • Some real use cases for clamp tools include typography scaling, spacing control, width and height scaling, and consistent responsive UI components.
  • Various community clamp() tools like ClampCalculator.com and others simplify CSS fluid design, offering features like font scaling, shorthand support, and live previews.

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Dev

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MVVM Directory Structure for Point of Sale (POS) System

  • The directory structure for a Point of Sale (POS) system using MVVM architecture in Swift includes separate directories for different components and follows a modular approach.
  • Key components like Coordinators, Modules (such as Auth, Product, Cart, and Checkout), Services, Helpers, Components, Resources, Extensions, Bindings, Middlewares, Protocols, Utils, and Tests are structured for scalability and maintainability.
  • The architecture emphasizes modularization, MVVM pattern for clear separation of concerns, Coordinator pattern for navigation, and scalability to easily accommodate additional features like inventory management, employee tracking, and reporting.

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8 Likes

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Dev

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426

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šŸš€ 12+ Must-Have Free JSON APIs for Developers in 2025

  • AquaScript offers free JSON APIs for developers in 2025, providing real, reliable, and ready-to-use data to enhance projects.
  • Key features of AquaScript include instant access without sign-ups or API keys, lightning-fast responses, diverse data categories, and regular updates for data relevance.
  • AquaScript provides APIs for books, movies, quotes, jokes, user data, recipes, and songs, catering to a wide range of project needs.
  • Developers can visit AquaScript to explore and integrate these APIs into their projects for free, fast, and reliable data access.

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Medium

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435

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Smart Pointers & Memory Management in C++

  • Smart pointers are modern C++'s elegant solution to automatic and safer memory management.
  • unique_ptr ensures a single owner of the allocated object, automatically deleting the object when it goes out of scope.
  • shared_ptr allows for shared ownership through reference counting, deleting the object when the count reaches zero.
  • weak_ptr observes a shared_ptr without increasing the reference count, ideal for scenarios like avoiding circular references.

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Fueled

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Fueled for the Future: A Renewed Brand

  • Fueled and 10up have unified their brand identity under the name Fueled, combining their innovative and excellence-driven approaches.
  • The rebranding signifies a shift towards embracing digital transformation and intelligence in design, reflected in the new visual identity.
  • The new Fueled brand ethos focuses on delivering impactful, quality digital experiences that shape a world people want to live in.
  • The rebrand also includes a dedicated WordPress practice inherited from 10up, showcasing expertise in CMS and open-source leadership.

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9 Likes

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Dev

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288

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šŸ—„ļø Best Practices for Handling Multiple Schemas in the Same Database Across Applications (with Real-World Lessons & Code)

  • Managing multiple applications using a single database with multiple schemas can lead to connection issues and poor performance under load.
  • To address connection problems, it is recommended to use dedicated datasource per schema for each application.
  • Avoid using SET search_path in application code and isolate database connections to improve performance and prevent schema bleed.
  • Sharing entity classes across modules should be avoided, and optimizing connection pooling is crucial for better performance.

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