Prompt: \"Please help me create a framework diagram according to the following requirements.\"Create a machine learning model that can predict the average price of a house based on its features. The specific steps are as follows:Reading data in Python Defining problem statement Identifying target variable Checking the distribution of the target variable Basic Data Exploration Rejecting unnecessary columns Exploratory Data Analysis for data distribution (Histograms and Bar plots) Feature selection based on data distribution Outlier handling Missing value treatment Visual correlation analysis Statistical correlation analysis (Feature Selection) Converting data to numerical for ML Sampling and K-fold Cross Validation Trying multiple regression algorithms Choosing the best model Deploying the best model in production environment
Prompt: Describe how ai works in architecture, what role of ai in architecture, how technologies combine with ai in architecture
Prompt: Generate a dark background A4 size image with content related to large AI models, including AI, deep learning model, large language model, self-learning algorithm, machine learning, neural network, big data, knowledge graph, speech recognition, computer vision, natural language processing
Prompt: To harness the power of artificial intelligence (AI) in generating an architectural diagram, one must first comprehend the essence of AI and technology. AI refers to the simulation of human intelligence in machines, enabling them to analyze data, learn from patterns, and make informed decisions. Technology, on the other hand, encompasses the tools and processes that facilitate the application of scientific knowledge for practical purposes. Combining AI and technology in the realm of architecture produces an innovative fusion—AI art buildings. This entails leveraging AI algorithms to envision and craft architectural designs, infusing structures with a harmonious blend of computational precision and creative ingenuity. Through this symbiosis, architects can unlock novel possibilities, allowing for the creation of visually captivating and conceptually advanced architectural diagrams that push the boundaries of traditional design methodologies.
Prompt: Data repositories, knowledge graph, semantic indexing, blue data visualization, information architecture, comprehensive datasets, deep learning analytics, cognitive computing, domain-specific insights, ontology mapping, structured knowledge, interconnected data nodes, blue-themed data mining, in-depth data curation, contextual data representation, graph-based knowledge storage, comprehensive data catalog, blue spectrum information retrieval, robust data ecosystem, knowledge enrichment.
Prompt: Data repositories, knowledge graph, semantic indexing, blue data visualization, information architecture, comprehensive datasets, deep learning analytics, cognitive computing, domain-specific insights, ontology mapping, structured knowledge, interconnected data nodes, blue-themed data mining, in-depth data curation, contextual data representation, graph-based knowledge storage, comprehensive data catalog, blue spectrum information retrieval, robust data ecosystem, knowledge enrichment.
Prompt: Data repositories, knowledge graph, semantic indexing, blue data visualization, information architecture, comprehensive datasets, deep learning analytics, cognitive computing, domain-specific insights, ontology mapping, structured knowledge, interconnected data nodes, blue-themed data mining, in-depth data curation, contextual data representation, graph-based knowledge storage, comprehensive data catalog, blue spectrum information retrieval, robust data ecosystem, knowledge enrichment.
Prompt: a graph that connects dream reports through text similarity, nlp, compsci, tree data structure
Prompt: driving monitoring assistant system. We are planning to make a regression model for driver drowsiness detection and there after applying brakes in the vehicle. Make a simple system of architecture for the project which will give exact flow of my project. Make simple and use English language
Prompt: Performance investigation of medical imaging assessment and diagnosis using machine learning and deep learning techniques
Prompt: create a 2 line graphs in a single chart where the first graph is slightly above the seccond graph and the randomly add some flat lines the graph should also look like matplotlib was used and the title is \"acc vs v-acc\" x_labels = [0, 20, 40, 60, 80, 100, 120, 140] y_labels = [0, 0.65, 0.70, 0.75, 0.80, 0.85, 0.90]
Prompt: Saying Goodbye to Mean and Zero Imputation in machine learning: Better Ways to Handle Missing Data
Prompt: Adjectives that describe the future of the AI world The future of AI is a world of intelligence, innovation, and change. In this world, AI technology will penetrate into various fields and change the way people live and work. First of all, AI will become an integral part of people's daily lives. Smart home devices will be able to automatically control the home environment, such as adjusting temperature, lighting, etc., to improve the comfort of living. Intelligent transportation systems will be able to monitor traffic conditions in real time, optimize route planning, and reduce congestion and accidents. The smart medical system will be able to provide personalized treatment plans and recommendations based on the patient's data and health status.
Prompt: \"Create a visually appealing logic relationship diagram highlighting the central element's importance, with peripheral elements connected to the central one by lines, and leave some empty space in the center of each element for adding text later on.\"
Prompt: solo, (squirrel tail:1.3), 1 squirrel girl, jeadite eyes, squirrel ears, medium hair, (smile:1.1), (open mouth:0.8), small face, medium breasts, sleeveless, frills waitress, miniskirt, sweets, standing, (in cafeteria:1.1), chair, table, (forest:0.5), (dappled sunlight:1.1), sharp focus, looking at viewer, cowboy shot, (intricate:1.1), (light green theme:1.2), (light green tone:1.2), (gold tone:0.5), illustration, \u003clora:more_details:0.5\u003e,
Negative: blush, worst quality, large head, low quality, extra digits, bad eye, EasyNegativeV2, ng_deepnegative_v1_75t, text, jpeg artifacts, signature, watermark, username, artist name, trademark, title, light, window, lamp,
Style: Analog Film
Prompt: golden casino slot machine, jackpot win, front angle, rendered in CGI, rendered in 3DSMAX, r, rendered in cinema4d, rendered in keyshot, rendered in povray, high quality 3d render, black background, 8k resolution
Prompt: Keywords: AI for Personal Finance, Smart Investment, Financial Independence Negative: Poor financial decisions, limited knowledge, lack of guidance, ineffective strategies, unstable finances Style: Clean and organized
Prompt: Absolutely, let's explore a programming prompt that can be both challenging and rewarding. How about this: **Prompt: Building a Dynamic Task Scheduler** **Context Breakdown:** 1. **Overview:** - **Description:** Develop a dynamic task scheduler that allows users to schedule and manage tasks with varying priorities and deadlines. - **Goal:** Create an efficient and user-friendly system for task scheduling. 2. **Key Features:** - **Priority Levels:** Implement a system that supports different priority levels for tasks (e.g., high, medium, low). - **Deadlines:** Enable users to set deadlines for tasks, with appropriate notifications or alerts. - **Dynamic Scheduling:** Tasks should dynamically adjust their priority based on factors such as deadline proximity and completion status. - **User Interface:** Design a clear and intuitive user interface for adding, updating, and removing tasks. 3. **Functionality:** - **Task Addition:** Users should be able to add tasks with details such as name, description, priority, and deadline. - **Task Update and Deletion:** Provide functionality to update or delete tasks, and ensure the scheduler adjusts accordingly. - **Automated Prioritization:** Implement an algorithm that automatically adjusts task priorities based on factors like deadline proximity. 4. **Notifications:** - **Deadline Alerts:** Implement a notification system to alert users when a task's deadline is approaching. - **Status Updates:** Notify users when tasks are completed or if there are changes in priority. 5. **Scalability:** - **Performance:** Ensure the scheduler can handle a large number of tasks efficiently. - **Database Integration:** Consider integrating a database to store task information persistently. 6. **Security:** - **User Authentication:** If applicable, implement a secure user authentication system to protect user data. - **Data Encryption:** Apply encryption for sensitive information stored in the system. 7. **Documentation:** - **Code Documentation:** Provide clear and comprehensive documentation for your code. - **User Guide:** Include a user guide explaining how to use the task scheduler. 8. **Testing:** - **Unit Tests:** Develop unit tests to ensure the functionality of individual components. - **Integration Tests:** Perform tests to ensure all components work seamlessly together. 9. **Bonus Features (Optional):** - **Collaboration:** Allow multiple users to collaborate on shared tasks. - **History Tracking:** Keep a log of task history, including changes in priority and completion status. **Explanation:** This prompt encourages you to think about various aspects of software development, including user experience, functionality, scalability, security, and documentation. By breaking down the prompt into these components, you can approach the development process systematically, ensuring a well-rounded and robust task scheduler. Remember to embrace creativity and problem-solving skills while working on this project!
Prompt: Python, based on the data provided by the text, sequentially calls the interface and records the feedback data in a CSV file
Prompt: Request for a neural network for a background for a YouTube channel Goal: Create a background for a YouTube channel called \"AI in Lab\" Input data: Channel name: \"AI in Lab\" Target audience: students, researchers, scientists interested in artificial intelligence Content Type: The latest research in artificial intelligence, how artificial intelligence is being used to solve scientific problems, and the people who are making artificial intelligence a reality Unique selling proposition: making artificial intelligence accessible and understandable to everyone Output: Background for a YouTube channel with the name \"AI in Lab\" Substrate requirements: Duration: 10 seconds Format: MP4 Resolution: 1920x1080 Audio: stereo, 44.1 kHz, 16 bit Recommendations: Use simple and clear elements Use contrasting colors Don't use too many details Detailed description: The background should be bright and memorable in order to immediately attract the attention of viewers. It should reflect the essence of the channel and its name. The substrate must be unique so that it can be easily distinguished from other substrates. The main elements of the substrate can be an image of a microscope or other laboratory equipment, an image of artificial intelligence, or a combination of these images. When choosing colors, you should use contrasting colors to make the background stand out from other videos. Avoid using too many details to keep the backing simple and clear. Here are some specific examples of substrates that can be used: Substrate with an image of a microscope, in which an image of artificial intelligence is visible. Such a logo will be bright and memorable. Background with an image of a robot working in a laboratory. Such a logo will be more modern and dynamic. Background with an image of a formula or equation related to artificial intelligence. This logo will be more intellectual and serious. Of course, the final decision on which logo to choose is up to you. Here is an example of a query that can be used for a neural network: Request for a background for the YouTube channel \"AI in Lab\" Input data title: \"AI in Lab\" target_audience: students, researchers, scientists, interested in artificial intelligence content_type: latest research in AI, how AI is used to solve scientific problems, and the people who make AI a reality unique_selling_point: make AI accessible and understandable to everyone Output duration: 10 seconds format: MP4 resolution: 1920x1080 audio: stereo, 44.1 kHz, 16 bit Requirements simple and understandable elements contrasting colors not too many details Recommendations microscope or other laboratory equipment artificial intelligence combination of microscope and AI contrasting colors not too many details Examples microscope with AI inside robot working in a laboratory formula or equation related to AI
Prompt: \"Creating Industrial Automation without Human Forms or Automobiles Using Raspberry Pi 4 and Python Code in the Upper Right Corner Square\"
Prompt: Design a diagram that includes a tree's seed state diagram, germination state diagram, seedling state diagram, small tree diagram, large tree diagram, and towering tree diagram
Prompt: dream prompt:create a visualization infographic to show opportunities and challenges of a low-carbon economy, data visualization, charts, graphs, modern design
Prompt: Think of the universe as an immense database, and each particle as a unique entry. Quantum Gravity is like an advanced search algorithm that attempts to reconcile the information stored in the database (quantum mechanics) with the overall structure of the database itself (general relativity).
Prompt: A figure to be attached to an scientific article describing chain of thought process in context of reasoning in large language models
