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Learn how to build a GPU-accelerated Ollama LangChain workflow with integrated RAG agents and multi-session chat memory management, including performance monitoring for efficient local LLM deployment.
Walmart Global Tech introduces ARAG, a multi-agent AI framework that significantly improves personalized recommendations by incorporating deep semantic reasoning and context awareness.
MMSearch-R1 introduces a reinforcement learning framework that enables large multimodal models to perform efficient, on-demand searches by learning when and how to retrieve relevant information, significantly improving accuracy and reducing search overhead.
Google releases a comprehensive 76-page whitepaper exploring advanced AI agents, novel agentic RAG techniques, evaluation frameworks, and multi-agent architectures for real-world applications.
Discover how conversational AI evolved from simple scripted bots like ELIZA to sophisticated models using large language models and conversation modeling platforms such as Parlant, blending flexibility with control.