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There are some obvious signs that can instantly differentiate between regular and advanced AI users. One, for instance, is the use of voice AI for daily tasks. While majority users still toil away on their keyboard for the perfect prompt, a person proficient in the use of AI now simply speaks to it. A well-put ask within a conversation saves you time, efforts, and often delivers better results than a standalone text. Despite these advantages, Voice AI has largely been limited to the elite. OpenAI now plans to change that with three new real-time voice models in the API. The…

  # Introduction  The world of data science moves fast. If you are just starting your journey in 2026, you might feel like you’re trying to drink from a firehose. Between mastering Python, understanding cloud computing, and keeping up with the latest machine learning models, it is a lot to handle. But there’s a new trend on the rise that promises to change everything — not by making your job harder, but by making you more capable than ever before. We are talking about the rise of AI agents. Forget the hype about robots taking over. In 2026, AI agents are…

  # Introduction  Self-hosting often begins with a simple goal: running a tool on your own server instead of relying on a third-party service. But it quickly grows into something much bigger. As you start hosting your own applications, you naturally learn how modern infrastructure works, from deployment and networking to storage, monitoring, backups, and system reliability. The best way to build these skills is by working on real projects. Fortunately, many open-source communities document their tools, deployment workflows, and infrastructure practices directly on GitHub. These repositories often include guides, configuration examples, and real-world setups that show how people actually run…

  # Introduction  Working with time series data involves a consistent set of tasks. Raw data arrives at irregular intervals and needs resampling. Anomalous spikes need to be identified before they distort any downstream analysis. Trends and seasonal patterns need separating from noise. And when you have multiple series, understanding how they relate to each other takes more than a quick visual scan. These five Python scripts handle these common time series tasks. They are designed to work with standard CSV or Excel inputs, produce clean outputs, and be straightforward to configure for different datasets. You can get all the scripts…

  # Introduction  Over the last decade, Pandas has been the foundation for data work in Python. For datasets that fit in memory, it is fast and familiar enough that switching libraries rarely crosses any programmer’s mind. However, once you start working with millions of rows, the flaws start to appear: groupby operations that take several seconds, intermediate copies that consume RAM, and window functions that run as Python-level loops rather than vectorized C or Rust code. Polars is a DataFrame library built in Rust on top of Apache Arrow. It was designed with parallelism and lazy evaluation as first-class features.…

AI agents are moving beyond simple command-line tools into systems that can plan, schedule, call tools, and run automated workflows. Nous Research’s Hermes Agent framework offers a self-hosted runtime for building advanced agents with state management, tool integration, and secure execution. It supports multi-step planning, background task control, and real-world automation beyond single-purpose coding assistants. In this article, we explore Hermes Agent’s architecture, setup, security model, and practical examples for building reliable AI agent workflows. What is Hermes Agent and How is it Built? Hermes is not just a prompt wrapper: it is an open-source agent runtime with multiple entry…

  # Introduction  Imagine signing up for an online course, clicking through 40 slides, passing a quiz you Googled your way through, and receiving a certificate. Did you actually learn anything? This is the reality of most online learning platforms today. They track clicks, not comprehension. They measure completion, not capability. The good news? Artificial intelligence has made it possible to build learning systems that actually adapt to each person. Systems that know what you already understand, identify where you are struggling, and guide you toward mastery rather than just the finish line. In this tutorial, you will learn how to…

  # Introduction  Large language models (LLMs) have a taste for using “flowery”, sometimes overly verbose language in their responses. Ask a simple question, and chances are you may get flooded with paragraphs of overly detailed, enthusiastic, and complex prose. This usual behavior is rooted in their training, as they are optimized to be as helpful and conversational as possible. Unfortunately, verbosity is a serious aspect to have under the radar, and can be argued to often correlate with an increased odds of a major issue: hallucinations. The more words are generated in a response, the higher the chances of drifting…

Large language models are no longer just about scale. In 2026, the most important LLM research is focused on making models safer, more controllable, and more useful as real-world agents. From persuasion risk and harmful-content mechanisms to tool-calling, temporal reasoning, and agent privacy, these papers show where LLM research is heading next. Here are the top LLM research papers of 2026 that every AI researcher, data scientist, and GenAI builder should know. Top 10 LLM Research Papers The research papers have been obtained from Hugging Face, an online platform for AI-related content. The metric used for selection is the upvotes…

  # Introduction  FastAPI has become one of the most popular Python frameworks for building modern APIs because it is fast, developer-friendly, and production-ready. Whether you want to build a simple backend, a full-stack web app, or an API for machine learning, FastAPI gives you a strong foundation with clean syntax and excellent performance. But one of the best ways to get better at FastAPI is not just by reading the docs — it is by studying real repositories that show how people actually use it in practice. In this article, we will explore 10 GitHub repositories that can help you…