Tag: RAG
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Can Intelligence Be Centralized? Rethinking RAG in the Era of Federated AI
Over the past year, RAG has quietly become the backbone of modern AI systems. It gives language models access to real-world knowledge, helping them stay relevant, factual, and grounded. But as enterprises start scaling RAG across teams, countries, and regulations, one question keeps surfacing i.e., Can intelligence truly be centralized? In theory, it’s yes! It…
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Course Launched – Software Engineering with Knowledge Graphs and RAG
In an era where software complexity continues to surge, traditional development and maintenance practices are struggling to keep pace. Fragmented documentation, disjointed systems, and siloed knowledge often hinder progress, leading to inefficiencies and risks across the software lifecycle. To address these, I have developed one short 1 hour course where you can understand merging the…
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World’s first enterprise-wide generative AI framework technology
Fujitsu Limited proudly announces the development of the world’s first generative AI framework designed specifically for enterprises. Starting in July 2024, this innovative framework will be available globally as part of the Fujitsu Kozuchi lineup. Key Features:1. Knowledge Graph Extended RAG: Enhances data input accuracy by expanding data references for large language models to over…
Welcome! I’m amitkumar Shrivastava, Head of AI, Global Fujitsu Distinguished Engineer, and Fujitsu Fellow. This blog is dedicated to exploring the latest in technology, with a focus on artificial intelligence. Here, I share insights from my work, tech travels, and ongoing projects in the AI space. Join me as we dive into cutting-edge innovations and industry updates. Reach me at LinkedIn - https://www.linkedin.com/in/amitkumar-shrivastava/. 