Nina Kimes

How Does AI Identify Spam Emails?

Email systems use artificial intelligence to separate wanted messages from unwanted ones. This process relies on analyzing massive amounts of data to find patterns that indicate spam.

Why Should You Bring AI to Your Work?

Artificial Intelligence (AI) is no longer just a futuristic concept; it has become a practical tool that businesses and individuals can use to improve productivity and efficiency. Integrating AI into your work can bring numerous benefits that enhance both daily tasks and long-term goals. Below are ten reasons why incorporating AI into your work environment makes sense.

How to Sign DMG Files When Building an Electron App?

When building an Electron app for macOS, distributing your application as a DMG (Disk Image) file is a common practice. Signing the DMG file is a crucial step in the release process to guarantee the integrity and authenticity of your app. This article explains how to sign DMG files correctly when building an Electron application.

Can You Run a LLM from Your Own Laptop?

Large Language Models (LLMs) have become increasingly popular in recent years due to their impressive ability to understand and generate human-like text. Many people wonder if it is possible to run these powerful models directly from their own laptops. This article explores the feasibility, challenges, and potential solutions for running LLMs locally.

How to Use AI to Write Better Weekly Reports?

Writing weekly reports is a common task in many jobs, but it’s often rushed, repetitive, or unclear. AI can help make this easier—if you use it the right way. You still need to provide the actual information. AI can't read your calendar or your mind. The quality of the report depends entirely on what you put into the prompt. The better the detail, the better the output.

How Quickly Do Basic AI Projects Boost Hiring Chances Next Year?

The integration of artificial intelligence (AI) into various job functions is transforming the way professionals demonstrate their skills to potential employers. As AI tools become more accessible and easier to implement, many job seekers wonder how quickly developing a simple AI project can improve their chances of landing a role. This article explores the timeline for seeing tangible benefits from basic AI projects and offers guidance on how to leverage these efforts effectively.

What is a Mantissa in Math?

Mathematics often involves various terms and concepts that can seem complex at first glance. One such term is the mantissa, which plays a key role, especially in fields like logarithms and floating-point arithmetic. This article explores what a mantissa is, how it is used, and why it is important.

What is Project Jakarta?

Project Jakarta is an initiative by the Apache Software Foundation aimed at developing a comprehensive suite of open-source projects focused on cloud-native, data, and web development. It originated from the migration of technologies previously maintained under the Apache Tomcat project and has since grown into a broader ecosystem supporting modern software development practices.

Is Cutting-Edge AI Limited by Hardware Costs in 2025?

The dream of running powerful, open-source artificial intelligence on your own hardware is rapidly moving from niche fantasy to tangible reality. However, this dream comes with a significant price tag. As developers, researchers, and enthusiasts look to harness the capabilities of cutting-edge large language models (LLMs) like OpenAI's gpt-oss-120b and Meta's ambitious Llama 4 series, the central question becomes: what is the real cost of the hardware needed to power them locally?

Where Did AI Learn the Programming Skills?

AI has made impressive strides in recent years, often showcasing capabilities that can rival human programming skills. The question many ask is: where did AI learn the programming skills it demonstrates today? The answer lies in a combination of data, algorithms, and continuous training processes that shape its abilities over time.

How to Find the Minimum Number of Operations to Move All Balls to Each Box

When working on problems involving arrays and movement costs, a common question in tech interviews is: "Given a series of boxes each holding some balls, what is the minimum number of operations required to move all balls to every individual box?" This question tests your understanding of array manipulation, prefix sums, and optimization techniques. Let’s explore how to solve this efficiently with clear explanations and examples.

How to Calculate the Sum of K-Mirror Numbers?

If you are preparing for a tech interview and encounter a question about the sum of k-mirror numbers, it’s important to understand what these numbers are and how to find their sum efficiently. In most cases, the problem involves generating numbers that are palindromic in both their decimal and k-ary representations, called k-mirror numbers, and then summing the first N of these numbers.

Will Long System Prompts Slow Down the LLM's Performance?

Many people wonder if giving large, detailed prompts to language models makes them slower. This is especially relevant as prompts become more complex with more words and instructions. In this article, we'll look at whether long system prompts really affect how fast a language model (LLM) responds and what factors play a role.

Why Is Markdown Format a Standard Document for Large Language Models?

Markdown has become the go-to format for working with large language models (LLMs). Its simplicity makes it a popular choice for creating, sharing, and processing text data. In this article, we look at the reasons why Markdown has earned this position as a standard.

What is an iframe and Why Do We Use It?

An iframe is a simple tool in web development that can make websites more interactive and flexible. If you browse the internet daily, you have probably used a website with iframes, even without knowing it. This article will explain what an iframe is, how it works, and why web developers choose to use it.

Is FastAPI the Better Choice over Django for Your Next Python Project?

Choosing the right framework is critical in backend development. If you're working with Python and looking to build modern, high-performance APIs, FastAPI is gaining strong traction — but how does it stack up against the veteran Django? This article introduces FastAPI, shows a simple example, and then compares it to Django in terms of speed, architecture, and ideal use cases.

How to Build a Lead Generation Bot Without a Chatbot Builder

If you're building a serious product and want full ownership of your lead gen experience, building your own chatbot with a JSON-driven engine is a no-brainer. It’s lightweight, flexible, and future-proof — and once set up, can be just as easy to manage as any no-code tool.

RAG vs. Search: Which AI Tool Should You Use to Find Information?

Ever wonder whether to use traditional search or a fancy AI like RAG for finding info? While RAG offers quick, conversational answers by synthesizing information, it's not always the best. For precise data like product IDs or prices, classic search is king because it points you directly to the source, ensuring accuracy. Use RAG for general questions and summaries, but stick to search when accuracy is non-negotiable!