Featured insights from the AskHandle team.
Most recent featured
September 15, 2025 · Elise Taylor · 3 min read
Code signing is an important process for software developers who want to distribute executable files (.exe) securely and professionally. Signing an EXE file adds a digital signature that verifies the identity of the publisher and confirms that the file has not been tampered with since it was signed. This article explains the steps and considerations involved in getting EXE files signed.
September 15, 2025
Elise Taylor · 5 min read
AI is no longer just for big corporations. Small and medium-sized businesses can also benefit from its capabilities to save time, improve efficiency, and grow faster. Whether you’re running a local shop or an online business, here are five simple ways you can use AI to make your business run smoother.
September 15, 2025
David Thompson · 5 min read
Are you looking to find damaged goods for sale on Amazon? This article explores various sources where you can discover these discounted items. Whether you seek a bargain or intend to repair and resell damaged products, these options will help you find great deals.
September 14, 2025
Junjie Shi · 6 min read
Artificial intelligence systems, like ChatGPT, have become powerful tools for processing and understanding natural language. Yet, when it comes to comparing certain numbers—such as 9.11 and 9.8—AI can sometimes make mistakes. In this article, we'll explore why AI struggles with comparing numbers, especially when they are treated as strings, and how different contexts can lead to different results.
September 14, 2025
Nicole Davids · 5 min read
Marketing analysts help businesses make informed decisions and enhance their marketing strategies. They analyze marketing data, uncover insights, and provide recommendations. This guide outlines the steps and skills needed to become a successful marketing analyst.
September 14, 2025
Nina Kimes · 3 min read
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.
September 13, 2025
Elise Taylor · 3 min read
Large Language Models (LLMs) have become a significant part of natural language processing and artificial intelligence. Open source LLMs provide opportunities for developers, researchers, and businesses to use, modify, and improve language models without the constraints of proprietary systems. This article explores some of the most notable open source LLMs available today, highlighting their features, strengths, and use cases.
September 13, 2025
Junjie Shi · 10 min read
Customer service refers to how a company assists its customers before, during, and after a purchase. It focuses on meeting customers’ needs, solving their problems, and ensuring satisfaction with the experience and product or service. Good customer service is essential for retaining existing customers and attracting new ones.
September 13, 2025
Aria Singh · 6 min read
OpenAI has introduced a new series of AI models called o1*and o1-mini, designed to enhance reasoning capabilities in artificial intelligence. These models are trained to spend more time thinking through problems before responding, enabling them to tackle complex tasks and solve harder problems in fields like science, coding, and mathematics. The release of these models marks a significant advancement in AI, bringing smarter, more thoughtful problem-solving to a broader range of users.
September 13, 2025
Aria Singh · 2 min read
Instagram, the popular social media platform, has seen tremendous growth in recent years. With over a billion monthly active users, it has become a hub for businesses, influencers, and individuals to connect with their audience and share their content. However, this popularity has also given rise to the use of automation tools, commonly known as bots, to manipulate engagement on the platform. In this blog post, we will explore whether Instagram allows bots and the consequences of using them.
September 12, 2025
Annie Hayes · 3 min read
Code signing is a process used to confirm the authenticity and integrity of software applications. It plays a crucial role in software distribution, providing users with confidence that the software they are installing or running has not been tampered with and comes from a trusted source. This article explains what code signing is, why it matters, how it works, and its benefits.
September 12, 2025
Elise Taylor · 5 min read
Customer support is the backbone of any successful business. It’s the primary touchpoint where companies interact with their customers, resolving issues, answering questions, and building relationships. With the rise of AI, businesses now have an opportunity to streamline this process, making it faster and more efficient than ever. But can you really trust AI to handle customer support?
September 12, 2025
Junjie Shi · 5 min read
Automated customer support is a technology-driven service that enables customers to resolve issues and obtain assistance without interacting with human agents. This service operates continuously, offering help anytime. Automated customer support allows businesses to efficiently meet customer needs while controlling costs.
September 12, 2025
Nick Kljaic · 2 min read
AI is one of the most sought-after fields in technology. The demand for AI professionals continues to grow. It is important to equip yourself with the necessary knowledge and skills. Several websites offer high-quality AI courses and resources. Here are five good websites where you can learn AI.
September 11, 2025
Annie Hayes · 5 min read
Personalized search results are becoming more common with advancements in AI, following the success of tailored content on platforms like Facebook, TikTok, and Amazon. While personalization enhances user experiences in social media and shopping, applying it to keyword searches raises concerns about bias and manipulation, potentially compromising the objectivity of search results.
September 11, 2025
Nicole Davids · 2 min read
Fine-tuning is a crucial technique in the field of generative artificial intelligence (AI) that allows developers to modify pre-trained models to achieve desired outcomes. By updating the models with new information or data, fine-tuning enables them to adapt to specific tasks or domains. In this blog, we will explore the concept of fine-tuning in [generative AI](/glossary/generative-ai) training and discuss how to adjust the fine-tuning process to optimize results.
September 11, 2025
Emily Henderson · 3 min read
Reducing memory usage in desktop software is a common challenge faced by developers. Efficient memory management can lead to faster, more responsive applications and a better user experience. This article explores various practical strategies to minimize memory consumption in desktop applications.
September 10, 2025
Nina Kimes · 3 min read
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.
September 10, 2025
Dustin Collins · 5 min read
With the release of the new iPhone 16, Apple has unveiled a groundbreaking feature: Apple Intelligence. This new personal AI system is built directly into Apple devices, including iPhone, iPad, and Mac, to help users get things done effortlessly while protecting their privacy. Apple Intelligence combines advanced generative AI models with a deep understanding of personal context to deliver an intuitive, seamless experience across apps and services.
September 9, 2025
Annie Hayes · 5 min read
Google's recent search updates have significantly reduced the visibility of third-party blogs, especially those offering specific answers like phone numbers or facts. This shift is more prominent in U.S. search results, raising questions about why Google is prioritizing official sources over independent sites that have traditionally provided valuable information.
September 9, 2025
Katherine Holland · 3 min read
Artificial intelligence continues to evolve, with various models designed to perform distinct tasks. Among these, AI reasoning and standard large language model (LLM) prediction are two important concepts that often get confused. Both involve processing language and generating responses, but their underlying mechanisms and goals differ significantly.
September 8, 2025
Jessy Chan · 3 min read
Artificial intelligence reasoning is the process where machines simulate logical thought to draw conclusions, solve problems, or make decisions. While many AI systems rely on statistical models, reasoning aims to go beyond pattern recognition by applying structured logic. This article outlines the technical foundations of AI reasoning, key types, approaches, and real-world applications in machine learning and knowledge systems.
September 8, 2025
Nicole Davids · 5 min read
As summer comes to an end and the fall season begins, many people find it challenging to transition back to their regular work routines after an extended vacation. Whether you've been enjoying the beach, spending time with family, or simply taking a break from the daily grind, returning to work can feel overwhelming. The good news is that with a few simple strategies, you can recover quickly from your summer vacation and ease back into your job with a positive mindset.
September 7, 2025
Lillian Kim · 3 min read
Language models are becoming more powerful, but one persistent flaw keeps resurfacing—hallucinations. These occur when models generate fluent and confident responses that are factually incorrect. It’s a problem not just for chatbot users, but also for developers aiming to create trustworthy AI. In a recent research paper, OpenAI explains why hallucinations happen and what could be done to reduce them. It turns out the problem isn’t just in the models—it’s also in how we train and evaluate them.
