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Kimi WebBridge: Hands-on Guide to Kimi’s Browser Extension for AI Agents 

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Beginner

AI agents are evolving from answering questions to taking actions inside browsers. They can now open pages, click buttons, fill forms, extract data, and automate multi step workflows across websites. Moonshot AI’s Kimi WebBridge brings this capability to Chrome and Edge, allowing local AI agents to safely interact with real browser sessions. In this article, […]

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40 Advanced SQL Window Functions Every Data Scientist Must Know(with examples)

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Listicle, SQL

In the world of data science, SQL still remains the powerful tool for defining the data, data manipulation, data aggregation and data analysis. While basic SQL commands are very fundamental, and everyone knows about it. If you want to be the unique in the crowd then you should know advanced features like window functions that

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OpenAI Omni Moderation: How to Filter Text & Images for Free

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, ChatGPT

Want to add a safety layer in your chatbot, image analyzer or any another LLM-based system? I would strongly suggest you try OpenAI’s moderation model: omni-moderation-latest, this can help your system identify if the input is potentially harmful or not, that too free of cost. We’ll look into the background of the model, how to

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OpenAI’s New API Voice Models Will Change the Way You Use AI

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Generative AI

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

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Feature Engineering with LLMs: Techniques & Python Examples

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, LLMs, Machine Learning

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

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Gemini API File Search: The Easy Way to Build RAG

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Generative AI, Generative AI Application, RAG

Building a RAG system just got much easier. Google’s File Search tool for the Gemini API now handles the heavy lifting of connecting LLMs to your data. Chunking, embedding, indexing are all managed for you. And with the latest update, it’s gone multimodal. You can now search through both text and images in a single

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ML Intern in Practice: From Prompt to a Shipped Hugging Face Model 

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Machine Learning

Most ML projects do not fail because of model choice. They fail in the messy middle: finding the right dataset, checking usability, writing training code, fixing errors, reading logs, debugging weak results, evaluating outputs, and packaging the model for others. This is where ML Intern fits. It is not just AutoML for model selection and

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15+ Solved Agentic AI Projects with Github Links

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Beginner, Project

Projects are the bridge between understanding AI and actually building with it. While the last couple of years were dominated by generative models, the shift now is toward systems that can think in steps, use tools, and act with a clear objective. This guide brings together over 15 solved agentic AI projects designed to help

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GPT 5.5 vs Opus 4.7: Which is the Best AI Model Today?

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, GenAI Tools, Generative AI

April has been a busy month in the world of AI. Two major AI models, hailing from the biggest AI companies of today, saw their debuts simultaneously. Anthropic was the first to drop Opus 4.7, and close to follow on its heels was OpenAI, which came out with its GPT-5.5. Though the leading models from

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