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  Overview This article walks through configuring your website user's SSH connection to your DreamHost server so you will no longer have to enter your password. Background Once you set up a  shell user  and try to log in via  SSH , you'll find you must enter your password each time. If you’d like to avoid entering your password every time, you can set up Passwordless Login. This way, you'll be able to automatically log in immediately without needing to enter your password. How to configure passwordless login The following instructions configure Passwordless Login for any Unix, Linux, OSX, or Cygwin machine. In this article,  username@server.dreamhost.com  is used as the login example. Make sure to replace username with your actual  shell username . Make sure to replace the servername with your  DreamHost servername . Additionally, you can use the default key name of  id_ed25519  or create a custom key name. Make sure you use the key name...

  Google just dropped their  biggest Al updates ever during Google I/O 2025.  Here are 13 new Al updates you can't miss: Gemini Live. You can now turn on your camera, point at anything, and talk to Gemini about it in real time Imagen. Google's best image model yet Veo 3. The first video model with native sound generation Deep Research Project Astra. A JARVIS-like research prototype exploring the capabilities of a universal Al assistant Google Flow. Al filmmaking tool for creators Agent Mode. A new feature in the Gemini app that lets you state a goal, and Gemini will handle the steps to achieve it Google Jules. Jules is an Al-powered coding assistant that can read your code, write tests, fix bugs, and update dependencies Al Mode in Search. Al Mode transforms Google Search into a conversational assistant Real-time speech translation in Google Meet Google Beam. An Al-first video communication platform that turns 2D video stream...

Worth investing time on learning the Model context protocol using a free course provided by huggingface.   https://huggingface.co/learn/mcp-course/unit0/introduction

RAG (Retrieval-Augmented Generation) focuses on enhancing AI responses by retrieving external data, while MCP (Model Context Protocol) standardizes how AI interacts with various data sources and tools. Overview of RAG Definition: RAG is an AI architecture that improves the accuracy and relevance of responses generated by large language models (LLMs) by pulling in up-to-date information from external sources, such as databases or APIs, before generating a reply. 2 Functionality: When a user submits a query, RAG retrieves relevant content from connected data sources and appends this information to the input prompt, enriching the model's context with real-world relevance. This helps reduce inaccuracies and hallucinations in AI responses by grounding them in verifiable sources. 2 Use Cases: RAG is particularly useful in scenarios where real-time data is crucial, such as customer support, news aggregation, and any application requiring current information. 3 Sources Overview of MCP Defi...