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DeepNewz, mobile.
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🤖 📚 RAG Tutorial Build a production-ready RAG chatbot that dynamically switches between models for cost efficiency. This implementation uses LangChain for orchestration, combining Hugging Face embeddings and Chroma for document retrieval. Check out the tutorial 📺 https://t.co/XGnEuDzeBT
🤖 📚 ReAct Agent Tutorial Series Learn to build production AI agents with LangGraph and Tavily AI in this step-by-step guide, covering everything from basic implementation to advanced memory optimization and storage. Build your AI agent today! 👉 https://t.co/lxuRGyPR95 https://t.co/99SH2tMiu4
🤖📱 Ava: WhatsApp AI Agent Course Create a WhatsApp AI agent inspired by Ex Machina, featuring voice, image, and memory capabilities. This comprehensive course leverages LangGraph to build intelligent workflows. Start your AI journey today 🚀 https://t.co/FmjjA7LQPk https://t.co/bYjesT6d6V
China's Genspark has introduced its Super Agent, a new artificial intelligence (AI) system that has reportedly outperformed OpenAI's offerings on the GAIA benchmark. The Genspark Super Agent is equipped with over 80 tools and is designed to autonomously execute tasks, marking a significant advancement in the competitive landscape of general AI agents. Analysts note that this development indicates that China is not merely catching up in the AI race but is actively setting new standards. The Super Agent's capabilities include autonomous thinking, planning, and task management, which could transform business operations and productivity. This innovation highlights the escalating competition in the AI sector, particularly between Chinese and Western firms.
