Hand-picked articles, guides, and best practices from the AskHandle team.
January 10, 2026 · Nina Kimes · 3 min read
Real-time weather data is useful for dashboards, travel tools, farming alerts, event planning, and IoT projects. Several providers offer free tiers that can deliver current conditions, forecasts, and sometimes alerts—often with rate limits or attribution requirements.
January 9, 2026 · Katherine Holland · 3 min read
LangChain is an open-source framework built to support applications that use large language models in structured, reliable ways. It focuses on turning raw model outputs into systems that can search data, use tools, and follow multi-step logic. Language models are powerful on their own, but real products rarely rely on a single prompt and a single answer. Most useful systems need memory, access to files or databases, and the ability to perform actions such as calculations or API calls. LangChain was created to organize those needs into a clear development framework.
January 8, 2026 · Jessy Chan · 3 min read
In the high-stakes race for artificial intelligence dominance, the finish line keeps moving. Just as the world began to acclimate to the power of NVIDIA’s Blackwell chips, the tech giant has once again reset the standard. At CES 2026, NVIDIA unveiled its latest marvel: the Vera Rubin platform. Named after the pioneering astronomer who provided the first evidence of dark matter, this new system is not merely a faster chip—it is a re-imagining of the AI Supercomputer designed to power a new generation of autonomous, reasoning AI.
January 7, 2026 · Elise Taylor · 3 min read
LangChain is an open-source framework for building applications powered by large language models (LLMs). It helps developers go beyond simple prompts and turn language models into systems that can use data, tools, memory, and multi-step workflows. Instead of treating an LLM as a standalone chatbot, LangChain provides the structure needed to integrate it with real-world software components like databases, files, and APIs.
January 6, 2026 · Aria Singh · 3 min read
Turning a PDF into high-quality embedding chunks is less about “cutting it small” and more about producing chunks that are coherent, searchable, and stable over time. A good pipeline keeps meaning intact, preserves useful structure, and produces consistent text that won’t shift every time you reprocess the same file.
January 5, 2026 · Lillian Kim · 3 min read
Large language models (LLMs) are often described as “just weights.” That phrase sounds dismissive, but it’s accurate in a technical sense: the model’s learned behavior is stored in a huge collection of numbers. When you ask an LLM a question, those numbers guide how it turns your text into a response.
January 4, 2026 · Elise Taylor · 3 min read
When you hear about a new smartphone with a 3nm chip or a laptop powered by 5nm technology, these numbers refer to the manufacturing process used to create the processor. The nanometer measurement describes the size of transistors packed onto the silicon wafer, with smaller numbers indicating more advanced technology.
January 2, 2026 · Katherine Holland · 3 min read
AI can create and edit PowerPoint (PPT) files by turning plain text, notes, or documents into structured slide decks, then refining design, layout, and wording with consistent formatting. It works through a mix of language processing (to plan the story) and design automation (to shape visuals). Below is a practical look at what AI can do, how the workflow typically runs, and what to watch for when you want a usable presentation rather than a rough draft.
January 1, 2026 · Lillian Kim · 3 min read
A new year is a practical moment to upgrade how you work. AI tools are no longer “nice to have” for a few technical teams—they’re becoming standard work companions for writing, analysis, planning, and operations. Learning how to work with AI now is less about chasing trends and more about gaining a reliable edge in output quality, speed, and clarity.
December 31, 2025 · Katherine Holland · 3 min read
Retrieval-Augmented Generation (RAG) helps a language model answer with facts drawn from your own documents. Instead of relying only on what the model “knows,” it retrieves relevant text passages and then writes a response grounded in them. The key question is how it selects the right passages from a large collection during a conversation.
December 31, 2025 · Jessy Chan · 5 min read
Large Language Models (LLMs) have become powerful tools for addressing a variety of tasks, including answering complex technical questions and generating creative content. This article explores how these models interpret input prompts, perform tasks, and generate accurate responses.
December 30, 2025 · Emily Henderson · 3 min read
Large language models (LLMs) can write, reason, code, and chat in a way that feels close to human thought. Yet their “thinking” is not a stream of conscious ideas. It is a structured statistical process that turns text into numbers, runs those numbers through many layers of computation, and then produces the next token in a sequence.
December 30, 2025 · Aria Singh · 3 min read
The push to build more capable artificial intelligence systems has led to intriguing discoveries. One of the most prominent is the idea of scaling laws, which suggest that a model's performance often improves predictably as you increase the size of your training data, the computations used to train the model, and even the model's size. These relationships, often expressed as power laws, are providing guidance on the best path forward in AI research and development.
December 29, 2025 · Emily Henderson · 3 min read
Large language models (LLMs) often look like they “know” what they’re doing: they write clean functions, follow frameworks, and even fix bugs. What’s really happening is next-word prediction carried to an extreme scale, trained on vast amounts of text that includes a lot of code and technical discussion.
December 29, 2025 · Ben Larson · 3 min read
The idea of artificial intelligence taking over human jobs is no longer science fiction. This shift is particularly noticeable in the call center industry. Will AI agents entirely replace human call center agents by 2025? The answer is a bit more nuanced than a simple yes or no. Complete replacement isn't likely in the next couple of years, but significant changes are clearly on the horizon, moving us towards a future where AI plays a much larger part.
December 28, 2025 · Alicia Gopin · 3 min read
The world of large language models (LLMs) is changing quickly. New models appear often, and some quickly become very popular. These powerful tools are used for many things, from writing stories to creating code. It can be difficult to keep up with the best ones. This article will help by looking at ten of the top LLMs available now. We'll explore their strengths and what makes them popular.
December 28, 2025 · Dustin Collins · 3 min read
Graphics processing units, or GPUs, handle vast amounts of math at the same time. They began as chips for drawing pixels, then grew into engines for scientific computing, machine learning, and simulation. This article explains how a GPU chip works and why it can run so many calculations in parallel.
December 27, 2025 · Melissa Olson · 3 min read
In 2025, e-commerce sites should use AI agents for their pre-sales process. These AI tools can greet customers, give product details, and guide users to specific items. This technology changes how customers shop online.
December 27, 2025 · Elise Taylor · 3 min read
Web scrapers are tools that collect information from websites and turn it into structured data you can store, search, or analyze. They can be as simple as a short script that reads one page, or as complex as a system that crawls thousands of pages, handles logins, and tracks updates over time.
December 27, 2025 · Junjie Shi · 3 min read
Contextual embeddings represent a groundbreaking development in AI, transforming how machines interpret human language. Essentially, this technology focuses on educating computers to comprehend the significance of words, not merely in isolation but as they are applied across various contexts.
December 26, 2025 · Aria Singh · 3 min read
Using a Virtual Private Network (VPN) is a common way to enhance online privacy and security. Many users wonder what data gets sent to their Internet Service Provider (ISP) when they connect through a VPN. This article explains the types of traffic transmitted during VPN use and how it affects what your ISP can see.
December 26, 2025 · Junjie Shi · 3 min read
Gradient descent is a fundamental method in AI training that helps machines learn how to make decisions and predictions. It's like a navigator guiding a ship to the treasure, where the treasure is the best possible decision or prediction the AI can make.
December 26, 2025 · Lillian Kim · 3 min read
Is your company ready to thrive next year? A smart move could be investing in AI software. This technology can change how you do business, making things easier and more effective. It's not just for big tech companies. Smaller businesses can also benefit greatly. Let’s explore why now is a great time to consider this kind of investment.
December 25, 2025 · Vitalii Sventyi · 3 min read
Looking for a festive way to level up your programming skills this holiday season? Learning how to create a Christmas tree in Python is a classic, beginner-friendly project that perfectly illustrates the power of loops and string manipulation. Whether you are a student looking for a fun coding exercise or a hobbyist wanting to add some holiday cheer to your terminal, this step-by-step tutorial will guide you through writing a simple yet elegant Python script to generate a digital Christmas tree.
