Artificial Corner

Artificial Corner is an educational Substack focused on exploring the intersection of artificial intelligence (AI) and programming. It provides insights on utilizing AI tools like GPTs and ChatGPT for coding, job search, and creative tasks, discusses AI advancements and challenges, and offers practical guides on data extraction and learning Python.

AI in Programming Job Search and Career Advancement with AI AI Tools and Applications Challenges and Ethics of AI AI and Creativity Learning Programming Languages Data Extraction and Web Scraping AI Technology Trends

The hottest Substack posts of Artificial Corner

And their main takeaways

AI & Python #29: Python Projects You Can Finish in a Weekend

198 implied HN points • 31 Oct 24
🕹 Technology Programming Software AI Education Development
  1. Working on Python projects is important because it helps you apply what you've learned. It's a great way to connect theory to practice and improve your coding skills.
  2. The article suggests projects for both beginners and advanced users, which helps cater to different skill levels. Starting with easier projects can build confidence before tackling more complex ones.
  3. Completing projects can also boost your motivation and help you create a portfolio. This can be really useful when looking for job opportunities or trying to showcase your skills.

Hello, Apple Intelligence (Or Just Grammarly with a Few Extra AI Features)

158 implied HN points • 29 Oct 24
🕹 Technology AI Tools Software User Experience Product Review
  1. Apple Intelligence features are mostly focused on writing tools and photo editing, but many expected more advanced AI capabilities. Users may find it similar to Grammarly rather than a fully developed AI assistant.
  2. The new updates for Siri are not as transformative as anticipated. Many promised features are still missing, making it feel like users are getting a version of the old Siri rather than a revamped one.
  3. Some standout features include writing tools for proofreading and summarization, smart replies for emails and messages, and a cleanup option for photos, which enhance user experience but may not be enough for those looking for advanced AI functions.

AI & Python #28: The Notebook Used for Data Science and AI Projects

158 implied HN points • 23 Oct 24
🕹 Technology AI Programming Data science Software Tools
  1. Jupyter Notebook is a popular tool for data science that combines live code with visualizations and text. It helps users organize their projects in a single place.
  2. Jupyter Notebook can be improved with extensions, which can add features like code autocompletion and easier cell movement. These tools make coding more efficient and user-friendly.
  3. To install these extensions, you can use specific commands in the command prompt. Once installed, you'll find new options that can help increase your productivity.

I Used ChatGPT Vision and DALL-E 3 to Bring My Drawings to Life

238 implied HN points • 18 Oct 24
🕹 Technology AI Tools Digital Art Software Applications Creative Process Human-AI Interaction
  1. You can use ChatGPT Vision and DALL-E 3 to turn your drawings into beautiful digital images. Just upload your drawing and get a detailed description to recreate it.
  2. Even simple sketches can be transformed into stunning visuals using these tools. They can enhance not only complex art but also quick doodles.
  3. You can also use ChatGPT to convert math formulas from screenshots into LaTeX code, making it easier to create professional-looking documents for school or research.

AI & Python #27: Books I Read to Learn Data Science and Machine Learning

119 implied HN points • 16 Oct 24
🕹 Technology Data science Machine Learning Artificial Intelligence Education
  1. Reading is essential for understanding data science and machine learning. Books can help you learn these subjects from scratch or deepen your existing knowledge.
  2. One recommended book is 'Data Science from Scratch' by Joel Grus. It covers important math and statistics concepts that are crucial for data science.
  3. For beginners in Python, it's important to learn Python basics before diving into data science books. Supplement your reading with beginner-friendly Python books.
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Behind AI #7: Top Python Libraries Any AI Enthusiast Should Know

138 implied HN points • 09 Oct 24
🕹 Technology AI Programming Data science Software Development Web Development
  1. Python is a key language for AI because it has many useful libraries for tasks like data collection, cleaning, and visualization. Learning these libraries can help you work effectively on AI projects.
  2. For data collection, libraries like Requests and Beautiful Soup are useful for web scraping. If you need to handle JavaScript-driven sites, Selenium and Scrapy are great options.
  3. To visualize data, Matplotlib and Seaborn can help you create standard plots, while Plotly and Bokeh allow for interactive visualizations, making your data easier to understand.

The Best GPTs for Programmers

535 implied HN points • 19 Jan 24
  1. Some GPTs can help automate coding projects by creating websites based on your ideas.
  2. There are GPTs that generate code from website screenshots, aiding in website replication or design.
  3. Code Tutor GPT challenges you to think and solve coding problems step by step, encouraging a deeper understanding.

How I'd Learn to Code Using ChatGPT

456 implied HN points • 18 Jan 24
  1. Learning to code has become easier with the help of AI like ChatGPT.
  2. ChatGPT allows for 24/7 coding assistance and quick answers to questions.
  3. Consider using AI tools to enhance coding learning and productivity.

How to Create an Irresistible Resume (with ChatGPT and Overleaf)

416 implied HN points • 10 Jan 24
  1. Creating a good resume involves summarizing your professional achievements and tailoring it to job descriptions.
  2. Use Overleaf templates and LaTeX to make a visually appealing resume without the hassle of Microsoft Word formatting.
  3. Transition from a traditional resume to a modern one efficiently with the help of Overleaf/LaTeX.

Gemini Ultra vs GPT-4: Did Google Beat GPT-4 This Time?

317 implied HN points • 09 Feb 24
  1. Gemini Ultra is faster than GPT-4 in most tests, but the quality of its responses may not always be as good.
  2. Gemini Ultra has an advantage with Google's native apps like Flights and Hotels for real-time information, while GPT-4 lacks this feature.
  3. Gemini Ultra's images appear more realistic, but it may lack the flexibility and creativity offered by models like DALL-E 3 or Midjourney.

How ChatGPT Helped me Get a Job

376 implied HN points • 08 Jan 24
  1. The article discusses how ChatGPT assisted in job search tasks like cover letters, resume refinement, and interview preparation.
  2. ChatGPT provided support throughout the job search process, helping in presenting the best self on paper and boosting confidence for interviews.
  3. The use of single and dual prompts with ChatGPT is highlighted as convenient for various tasks, even beyond job hunting.

The Hidden Challenges of AI

357 implied HN points • 16 Jan 24
  1. AI is getting smarter, but lacks human touch in areas like creativity and empathy
  2. We should ensure AI models are programmed with goals aligned with human values to avoid potential ethical issues
  3. AI's advancement raises concerns about the loss of human roles and the need for critical discussions on its impacts

I Tried Multiple AI Coding Assistants. These Are The Best

337 implied HN points • 25 Jan 24
  1. GitHub Copilot is a top choice for general-purpose coding assistance with a chat function and seamless code integration.
  2. CodiumAI stands out for code testing and providing feedback to improve code quality.
  3. AWS Code Whisperer is beneficial for writing apps within the Amazon ecosystem, offering code suggestions in line with AWS APIs.

If You Like AI Art Tools, You'll Love These Custom GPTs

277 implied HN points • 02 Feb 24
  1. Explored and selected the best GPTs for AI art tools
  2. Chose GPTs that simplify complex tasks and are user-friendly
  3. Listed Logo Creator, Face Swap Master, Sticker Whiz, Avatar Creator, Photo Multiverse, Coloring Book Hero, and LogoGPT as the top AI art GPTs

How ChatGPT Has Changed The Lives of Programmers

297 implied HN points • 22 Jan 24
  1. ChatGPT is an AI coding assistant that can write code in multiple languages, debug code, translate between programming languages, and much more.
  2. ChatGPT has not replaced programmers, software engineers, or developers, but it has significantly impacted the field by changing how they work.
  3. The post discusses how AI assistants like ChatGPT are revolutionizing the lives of programmers and those interested in entering the field.

No-Code Tools To Extract Data From Websites

257 implied HN points • 08 Feb 24
  1. Web scraping tools can extract data from websites without coding, making it accessible to those who don't know how to code.
  2. No-code tools like Octoparse, WebAutomation.io, and WebScraper.io offer easy ways to extract data from websites with user-friendly interfaces.
  3. While no-code tools are convenient, learning Python for web scraping gives more flexibility to scrape various websites with custom structures.

Are we really in an AI bubble?

238 implied HN points • 31 Jan 24
  1. AI technology is progressing, but still has limitations and flaws.
  2. AI is becoming a common commodity with many competing models.
  3. The future of AI will bring new products with enhanced capabilities and dynamics.

Data: An important resource in the AI revolution

198 implied HN points • 06 Feb 24
  1. Data is often compared to oil because it needs to be refined before it can be used.
  2. Data needs processing and cleaning similar to how oil needs to be extracted and refined.
  3. Unlike oil, data is constantly being created, making it an infinite resource.

Behind AI #2: Two Tools Every Python Programmer Needs To Use

158 implied HN points • 05 Feb 24
  1. Two essential tools for Python programmers are virtual environments and the terminal.
  2. Virtual environments help manage dependencies for different projects by keeping them separate.
  3. Setting up virtual environments and using the terminal are fundamental concepts that beginners should learn.

Behind AI #1: How to Learn Python with ChatGPT

158 implied HN points • 29 Jan 24
  1. Python is popular in AI due to its simplicity and libraries like Pandas and Numpy.
  2. Learning Python is easier with tools like ChatGPT.
  3. Article series 'Behind AI' will cover technical topics and provide a 1-hour Python crash course for beginners.