Key insights

• 🌍 🌍 The Deep Seek R1 model tests interactive mapping of the 20 most visited cities globally, showcasing its web browsing capabilities.
• 🤖 🤖 The model uses web browsing to automate data gathering, enabling efficient updates on visitor rankings and geographical coordinates.
• 📊 📊 Utilizing the Fume library allows for the creation of interactive maps where clicks reveal city details like visitor numbers and ranks.
• 🗺️ 🗺️ The coding process in Google Colab simplifies the implementation of the map, making it accessible to users without programming experience.
• 🎨 🎨 London ranks third in 2024, with proposed color coding enhancing the visual understanding of visitor statistics among the top 20 cities.
• 🏙️ 🏙️ The model highlights the significance of AI in swiftly retrieving data that previously required extensive manual searching.
• 🚀 🚀 The code execution illustrates a hands-on approach to creating dynamic visual data representations using Python.
• 💬 💬 Encouragement for viewers to engage with AI models, share feedback, and explore the data-driven insights offered by advanced language models.

Q&A

• What steps are involved in creating the map? 📊

  The process includes running code in a new cell to import necessary libraries, creating a pandas DataFrame to organize city data, and plotting the 20 most visited cities onto the interactive map. The coding process also involves enabling user interactions to reveal more data about each city's visitor statistics.

• What advantages do large language models offer? 🤖

  Large language models like Deep Seek R1 simplify the process of data retrieval and reasoning. They can instantaneously gather data about the most visited cities, which would traditionally require manual searching. Such models improve user access to information and encourage experimentation and inquiry.

• How is data visualized on the map? 🎨

  Data visualization on the map is enhanced through color coding. The first five cities are marked in red, the next five in blue, and the others in green and yellow. This system assists viewers in quickly identifying visitor rankings based on color distinctions, making the information clearer.

• What coding environment is used in the video? 🐍

  The video demonstrates the use of Google Colab, a cloud-based coding environment that is accessible with a Google account. It is ideal for beginners since it doesn't require any installation of development environments and allows users to run Python code easily.

• Who are the most visited cities in 2024? 🎉

  According to the video, Bangkok is projected to be the most visited city in 2024 with 32.4 million visitors, followed by Dubai and London. The interactive map ranks these cities and provides visitor numbers upon interaction.

• What is the role of the Fume library? 🌍

  The Fume library is utilized for displaying data on an interactive map, enhancing the visual representation of the visitor statistics for the cities. It allows for user interaction, letting viewers click on cities to get detailed information.

• How does the interactive map work? 🗺️

  The interactive map displays the 20 most visited cities worldwide, allowing users to click on each city to see their ranks and visitor numbers. It is created using Python in a Google Colab environment, making it accessible and user-friendly, even for those without a programming background.

• What is the Deep Seek R1 model? 🤖

  Deep Seek R1 is a large language model that competes with OpenAI's ChatGPT, designed for enhanced web browsing capabilities and automated reasoning. It can gather and process data in real-time, making it effective for tasks such as compiling information about the most visited cities worldwide.

• 00:00 In this video, the presenter tests the Deep Seek R1 model by creating an interactive map of the 20 most visited cities worldwide and highlights the model's web browsing capability. 🌍
• 01:36 Exploring a new deep reasoning model allows for automated data gathering and reasoning to compile information about the 20 most visited cities, including their coordinates. 🌍
• 03:10 The speaker introduces the use of the Fume library for displaying data on an interactive map and highlights Bangkok as the most visited city in 2024. They plan to use Google Colab for coding, emphasizing its accessibility for users without programming backgrounds. 🤖
• 04:41 The video illustrates the process of coding in Python to create an interactive map that displays the top 20 most visited cities worldwide, providing details such as city name, rank, and visitor numbers upon interaction. 🗺️
• 06:18 In 2024, London is the third most visited city, and the speaker suggests visually distinguishing the top 20 cities by color coding them based on their visitor numbers for easier understanding. 🎨
• 08:08 Discover the ranking of the top 20 most visited cities in the world and how AI, like large language models, simplifies retrieving such data. 🤖