Merging spreadsheets, cleaning exports, and splitting reports are necessary-but-boring tasks. These Python scripts handle the repetitive parts so you can focus on the actual work.
In this tutorial, we explore CloakBrowser, a Python-friendly browser automation tool that uses Playwright-style APIs within a stealth Chromium environment. We begin by setting up CloakBrowser, preparing the required browser binary, and resolving the common Colab asyncio loop issue by running the sync browser workflow in a separate worker thread. We then move through practical […]
The post Build a CloakBrowser Automation Workflow with Stealth Chromium, Persistent Profiles, and Browser Signal Inspection appeared first on MarkTechPost.
Feature engineering is the foundation of strong machine learning systems, but the traditional process is often manual, time-consuming, and dependent on domain expertise. While effective, it can miss deeper signals hidden in unstructured data such as text, logs, and user interactions. Large Language Models change this by helping machines understand language, extract meaning, and generate […]
The post Feature Engineering with LLMs: Techniques & Python Examples appeared first on Analytics Vidhya.
AI technology is leapfrogging, yet that doesn’t mean we always want a revolutionary feature out of it. What most users would want more of are simple capabilities within AI that can help with their everyday tasks, whether in the office, at home, or anywhere else. On those lines, OpenAI may have just come up with […]
The post ChatGPT is Now Inside Excel and Google Sheets: Here is How to Use it appeared first on Analytics Vidhya.
Stop shifting elements in lists! Discover why collections.deque is the secret to high-performance sliding windows, thread-safe queues, and efficient data streams in your next Python project.
The post Beyond Lists: Using Python Deque for Real-Time Sliding Windows appeared first on Towards Data Science.
In this tutorial, we build a complete skill-based agent system for large language models and explore how modular capabilities can be structured like an operating system for AI agents. We define reusable skills, attach metadata and schemas to them, register them in a central registry, and enable dynamic orchestration through tool calling and multi-step reasoning. […]
The post Build a Modular Skill-Based Agent System for LLMs with Dynamic Tool Routing in Python appeared first on MarkTechPost.
Armed with some Python and a white-hot sense of injustice, one medical student spent six months trying to figure out whether an algorithm trashed his job application.
Microsoft CEO Satya Nadella last week announced that the company now has more than 20 million enterprise users paying for Microsoft Copilot, according to TechCrunch. That’s up 33% from the 15 million paying customers Microsoft claimed in January.
The AI assistant is now directly integrated in programs such as Word, Excel, and Outlook and Microsoft is rolling out new agent features that allow Copilot to perform multiple steps automatically directly within documents and presentations.
According to Nadella, the number of questions asked of Copilot per user rose by nearly 20% compared to the previous quarter. Weekly usage is now reportedly on par with the Outlook email service.
Microsoft says one advantage for Copilot is that it is no longer locked to a single provider of AI models. In addition to OpenAI’s GPT models, it now also supports models such as Anthropic’s Claude.
