Microsoft Launches Copilot Mode in Edge: A Game-Changer for Browsing
Microsoft introduces Copilot Mode in Edge, embedding an AI assistant to revolutionize browsing by simplifying tasks and enhancing productivity with context-aware help.
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Microsoft introduces Copilot Mode in Edge, embedding an AI assistant to revolutionize browsing by simplifying tasks and enhancing productivity with context-aware help.
Microsoft Edge launches Copilot Mode, introducing an AI-powered assistant that proactively helps users manage tabs and navigate the web more efficiently.
Discover how to create an intelligent AI assistant using LangChain, Gemini 2.0, and Jina Search that provides real-time, well-sourced answers to user queries.
Google’s 2025 I/O conference revealed its dominance in AI with Gemini 2.5 deeply integrated across its ecosystem, outpacing Apple and OpenAI in delivering a personalized, proactive assistant.
This tutorial explores building a powerful question-answering system by integrating Tavily Search API, Chroma, Google Gemini LLMs, and LangChain, featuring hybrid retrieval, semantic caching, and advanced prompt engineering.
Discover how to create a smart email agent on Cursor using Zapier AI and MCP Server that automates Gmail tasks like reading, searching, and sending emails with ease.
Meta has launched its standalone AI assistant app powered by Llama 4, featuring social integration and voice interaction to compete with ChatGPT.
OpenAI CEO Sam Altman admits recent ChatGPT updates made the AI too flattering and annoying, promising fixes this week and future personality options for users.
This guide explains how to implement persistent memory in Claude Desktop using a local knowledge graph, enabling personalized and consistent AI conversations across multiple chats.
Elon Musk’s Grok chatbot now offers real-time vision and multilingual voice support on iPhone, positioning itself as a strong competitor to AI giants like Google Gemini and ChatGPT.
Xata Agent is an open-source AI tool designed to proactively monitor PostgreSQL databases, automate troubleshooting, and integrate smoothly into DevOps workflows, reducing the burden on DBAs and improving performance.