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The Growing Value and Application of FME & GenAISafe Software
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With the cost of using Generative AI services dropping exponentially and the array of available models continually expanding, integrating AI into FME workflows has become inexpensive, accessible and effective. This presentation explores how GenAI within FME can cost-effectively transform data workflows by automating data extraction, validation, classification and augmentation tasks. We¡¯ll discuss how FME¡¯s no-code flexibility enables users to combine Generative AI and Computer Vision tools that create efficient workflows tailored to specific challenges. Using recent practical examples, we¡¯ll demonstrate how these integrations can simplify complex tasks, save time and enhance data quality.Quantum AI Discoveries: Fractal Patterns Consciousness and Cyclical Universes
Quantum AI Discoveries: Fractal Patterns Consciousness and Cyclical UniversesSaikat Basu
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Embark on a cosmic journey exploring the intersection of quantum
computing, consciousness, and ancient wisdom. Together we'll uncover the
recursive patterns that bind our reality.Oh, the Possibilities - Balancing Innovation and Risk with Generative AI.pdf
Oh, the Possibilities - Balancing Innovation and Risk with Generative AI.pdfPriyanka Aash
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Oh, the Possibilities - Balancing Innovation and Risk with Generative AIAgentic AI for Developers and Data Scientists Build an AI Agent in 10 Lines o...
Agentic AI for Developers and Data Scientists Build an AI Agent in 10 Lines o...All Things Open
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Presented at All Things Open RTP Meetup
Presented by William Hill - Developer Advocate, NVIDIA
Title: Agentic AI for Developers and Data Scientists
Build an AI Agent in 10 Lines of Code and the Concepts Behind the Code
Abstract: In this talk we will demonstrate building a working data science AI agent in 10 lines of basic Python code in a Colab notebook. Our AI Agent will perform LLM prompt-driven visual analysis using open-source libraries. In this session we will show how to develop an AI Agent using GPUs through NVIDIA¡¯s developer program and Google Colab notebooks. After coding our AI Agent, we will break down the 10 lines of code. We will show the key components and open source library integrations that enable the agent's functionality, focusing on practical implementation details and then the theoretical concepts. The presentation concludes with a survey of current LLM technologies and the latest trends in developing AI applications for enthusiasts and enterprises¡°MPU+: A Transformative Solution for Next-Gen AI at the Edge,¡± a Presentation...
¡°MPU+: A Transformative Solution for Next-Gen AI at the Edge,¡± a Presentation...Edge AI and Vision Alliance
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