Browsing: Business & Startups

Image by Editor   # Introduction  Even though large language models (LLMs) are typically used for boxed, archetypal roles like “writing email messages” or “acting as advanced search engines”, they have a lot of hidden potential. It is just a matter of uncovering their hidden potential for creative problem-solving and expanding it into lesser-explored terrains. If you are keen to discover new examples of such unconventional things to do with LLMs, this article lists and exemplifies seven of them, going far beyond the usual chat interface and conversations.   # 1. Playing Personal Devil’s Advocate for Decisions  Conversational AI systems are meticulously…

Image by Editor   # Introduction  If you want to learn agent engineering by doing instead of just reading about it, the best way is still to fork real repos, run them locally, and change them for your own use. This is where the real learning happens. I’ve hand-picked the best 10 ones, the projects that are both useful and widely recognized, so you can see how agent apps are being built today. So, let’s get started.   # 1. OpenClaw  OpenClaw (~343k ⭐) is the one I would point to first if you want to see what the next wave of…

The AI image generation space has been highly competitive over the past 18 months. Models keep improving and replacing each other at the top. Google’s Nano Banana went viral in mid-2025. It topped the benchmarks and set a new standard for image quality. Now OpenAI has released ChatGPT Images 2.0, powered by gpt-image-2. Within hours of launch, it reached the #1 spot on the Image Arena leaderboard. This includes Text-to-Image, Single-Image Edit, and Multi-Image Edit. The bigger story is the gap. Arena called it the largest difference ever between the top two models. In this article, we break down what…

Image by Author   # Introduction  Claude Code has quickly become one of the most talked-about agentic coding tools because it can do far more than generate code. It can read an existing codebase, edit files, run terminal commands, and work across the tools developers already use, from the terminal and integrated development environment (IDE) to desktop and browser workflows. In many cases, you can simply describe what you want, and it handles the heavy lifting. But using Claude Code out of the box only scratches the surface. To get real value from it, you need to understand the broader ecosystem…

Design has traditionally required multiple roles working in sequence: a strategist to define the problem, a designer to shape the solution, and a developer to build it. This means coordinating timelines, aligning opinions, and going through rounds of iteration before anything tangible is created. Claude Design removes much of this friction by turning ideas directly into working outputs. What once took weeks can now happen in minutes. In this article, we break down how Claude design works and walk through real examples from idea to a final prototype. What is Claude Design? Claude Design lets Anthropic’s system produce real visual and…

Image by Author   # Introducing Quantum Machine Learning  Quantum machine learning combines ideas from quantum computing and machine learning. Many researchers are studying how quantum computers could help with machine learning tasks. To support this work, several open-source projects on GitHub share learning resources, examples, and code. These repositories make it easier to understand the basics and see how the field is developing. In this article, we examine five repositories that are especially useful for learning quantum machine learning and understanding the current progress in the space. These resources provide various entry points for different learning styles.   # 1. Mapping…

A year or two ago, using advanced AI models felt expensive enough that you had to think twice before asking anything. Today, using those same models feels cheap enough that you don’t even notice the cost. This isn’t just because “technology improved” in a vague sense. There are specific reasons behind it, and it comes down to how AI systems spend computation. That’s what people mean when they talk about token economics. Tokens: The Fundamental Unit AI doesn’t read words the way we do. It chops text into smaller building blocks called tokens. A token isn’t always a full word.…

Image by Author   # Introduction  So, you are a student or someone just starting to learn the operational side of building applications. You have already taken the first step by developing and testing your application locally. Now, you want to deploy it to the cloud so it can be accessed from anywhere. The problem is that cloud hosting can feel complicated and expensive when you are just getting started. In this article, we will look at some of the easiest free platforms that let you host your Python web or application programming interface (API) application without paying upfront. While these…

Image by Author   # Introduction  You’ve written your Dockerfile, built your image, and everything works. But then you notice the image is over a gigabyte, rebuilds take minutes for even the smallest change, and every push or pull feels painfully slow. This isn’t unusual. These are the default outcomes if you write Dockerfiles without thinking about base image choice, build context, and caching. You don’t need a complete overhaul to fix it. A few focused changes can shrink your image by 60 — 80% and turn most rebuilds from minutes into seconds. In this article, we’ll walk through five practical…

Image by Author   # Introduction  Most data scientists learn pandas by reading tutorials and copying patterns that work. That is fine for getting started, but it often results in beginners developing bad habits. The use of iterrows() loops, intermediate variable assignments, and repetitive merge() calls are some examples of code that is technically accurate but slower than necessary and more difficult to read than it should be. The patterns below are not edge cases. They cover the most common daily operations in data science, such as filtering, transforming, joining, grouping, and computing conditional columns. In each of them, there is…