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Emerging Architectures of LLM Applications 2025

Writer's picture: TensorOpsTensorOps

Watch the video here:



The webinar, "Building the Future of AI: Emerging Architectures of LLM Applications in 2025," explore cutting-edge advancements in LLM architectures, multimodal AI, cognitive workflows, and much more.


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The Rise of Multimodal AI

Cognitive Workflows: Scaling Inference & Handling Complex Tasks

Out-of-Model Orchestration

Human-Like Interfaces

Gemini 2.0 Demo

Advanced Cognitive Architectures

Multi-Agent Systems


Key Topics Covered:

  • Navigating AI Deployment Challenges: Understanding the complexity of productionizing AI, including concepts like GPUs, Retrieval-Augmented Generation (RAG), and memory agents.

  • Strategic Approaches to AI in Production: Identifying what truly matters for organizations aiming to operationalize AI effectively.

  • Expert Insights from Industry Leaders: Practical lessons and best practices from real-world AI implementations.

With a focus on overcoming barriers to AI adoption, this session is designed to help businesses accelerate time-to-market and optimize their AI infrastructure for scalable and efficient production.



Special Thanks:

• Jeff Dahan - Google Cloud Partner Engineer specializing in Data & AI,

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