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🔗 AI and Generative AI in Centralized vs. Federative PLM Solutions: Opportunities and Challenges
This article explores the integration of AI and Generative AI into Product Lifecycle Management (PLM) solutions, comparing centralized and federative architectures. It discusses the impact of these architectures on AI implementation, highlighting their respective opportunities and challenges, and examines how a hybrid approach could combine the strengths of both models
5 Reasons to Fine-Tune Models in Industrial Applications & how to do it
The latest advancements in fine-tuning and custom models programs by OpenAI (OpenAI brings...
Industrial Generative AI: Introducing the I-GenAI Framework. What is it, and Why we need it?
Introduction to Industrial Generative AI The concept of Industrial Generative AI (I-GenAI) is...
Organize you Data: Auto-Generated Knowledge Graphs with Neo4j and Generative AI
Introduction In the world where data is king, the ability to harness unstructured data is a...
🔥 Gradio vs Streamlit: Guide to Choosing the Right Framework for LLM and Generative AI Applications
Frameworks are a big help to developers, making it easier to build apps by offering ready-made...
When Two Industries Converge: 3 new capabilities Boston Dynamics is integrating into robots with Generative AI
Introduction: The fusion of Generative AI with robotics is gradually unfolding a new era of...
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