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Is it possible to predict real estate rental prices without writing a single line of code? I asked ChatGPT to generate a complete solution. And was stunnded by its answers... Artificial Intelligence has once again pushed the boundaries of what we thought was possible. The AI field has presented us with a stunning demonstration of its ability to not only assist in writing code, but to single-handedly create a complete, working Random Forest Regression solution. Yes, you read that right. ChatGPT, an AI model developed by OpenAI, is now proficient enough to autonomously develop a complex web application to predict real estate prices. And the most exciting part? You don’t need to write a single line of code! How Does it Work? In a fascinating experiment (below at the end of the post), ChatGPT was tasked with developing a complete web solution on PythonAnywhere. The brief was complex: create a webpage where users could upload a CSV file with geographical coordinates and real estate rental p

Artificial Intelligence (AI) continues to make significant strides, integrating more seamlessly into our daily lives. A key player in this evolution is OpenAI, which has recently unveiled a new beta feature for ChatGPT: web browsing. This addition opens up an exciting range of possibilities and implications for data actuality, business analysis, education, and the broader vision of a global, up-to-date brain. What is the Web Browsing Beta Feature? The web browsing feature essentially extends ChatGPT's abilities by allowing it to interact with the internet in real-time. It can issue queries to a search engine, read the results, click on search results to view full page content, store useful information, and even scroll through pages. This feature is still in its beta stage and, therefore, doesn't support transactional operations such as submitting forms on webpages. Implications on Data Actuality The introduction of this feature marks a significant leap towards addressing one of

In a thrilling breakthrough for the world of ideation and creative problem-solving, the integration of AI into traditional mind-mapping techniques has just revolutionized the way we generate and explore ideas. Check out the experiment at the end of the blog. You will be amazed! MIRO's AI-assisted expansion of mindmap nodes, a concept once constrained to the realm of science fiction, is now a reality that's reshaping our approach to innovation. MIRO's AI can instantly suggest numerous related concepts, references, and insights, thereby expanding a single node into a rich, multidimensional web of interconnected ideas.  This is an extraordinary leap from the manual, often time-consuming process of brainstorming and mind-mapping. Associating AI to mindmapping not only assists in broadening our idea generation but also in reaching a depth of detail and complexity that was previously unattainable. It's as if we have unlocked a hidden chamber in the labyrinth of creativity, op

The process of generating ideas and translating them into actionable plans or text is a crucial aspect of many industries, including education, research, and business. However, this translation can often be difficult. This is where the power of mind maps and OpenAI tools come in. By using these tools in combination, it is possible to seamlessly generate text from mere unstructured ideas within minutes. This breakthrough potential for ideation has far-reaching implications, particularly in education. One of the key benefits of using mind maps is that they help to organize and structure ideas. Mind maps are visual representations of ideas that use diagrams and hierarchies to show relationships and connections between different concepts. By creating a mind map, it is possible to see how different ideas are related and to identify key themes and patterns. This makes it much easier to move from unstructured ideas to concrete plans or strategies. But the power of mind maps doesn't end th

One of the most promising recent developments of AI-ChatBots is the ability to engage in conversations with documents. This breakthrough has the potential to revolutionize the way we access and process information, particularly in the realm of education. However, it also raises essential questions about the future of learning and assessment methods. AI-enabled conversations with tools like ChatPDF (see the experiment below) can accelerate knowledge acquisition by allowing students to engage with learning materials more interactively and on a personalized level. This can lead to more efficient and effective learning experiences, fostering collaboration across disciplines and creating a more comprehensive understanding of complex subjects. Additionally, AI can help teachers identify patterns and trends, enabling them to make better decisions and facilitate smoother transitions in curricula and teaching methods. Despite these potential benefits, there are valid concerns about the implica