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/.

Tag: LLM

  • Can Intelligence Be Centralized? Rethinking RAG in the Era of Federated AI

    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…

  • Course Launched – Software Engineering with Knowledge Graphs and RAG

    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…

  • Graph DB vs Vector DB for AI

    Graph DB vs Vector DB for AI

    The discussion regarding graph and vector databases is increasing due to organizations putting their weight behind AI. In fact, each has unique strengths, and choosing the right one depends on various factors, like how application processes data, handles queries, scales, and what specific objectives you aim to achieve. Graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB,…

  • World’s first enterprise-wide generative AI framework technology

    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…

  • Fujitsu chosen for GENIAC project, starts development of large language models for logical reasoning

    Fujitsu chosen for GENIAC project, starts development of large language models for logical reasoning

    Enhancing reliability of generative AI, accelerating application of generative AI in business operations Fujitsu has been chosen for the GENIAC project, backed by Japan’s METI and NEDO, to develop advanced generative AI technology. The focus is on using knowledge graphs to enhance large language models (LLMs) with logical reasoning capabilities. This initiative addresses the challenge of…

  • Release of “Fugaku-LLM” — a large language model trained on the supercomputer “Fugaku”

    Release of “Fugaku-LLM” — a large language model trained on the supercomputer “Fugaku”

    Enhanced Japanese language ability, for use in research and business Today, Fujitsu announced the release of Fugaku-LLM, a state-of-the-art large language model engineered using Japan’s premier supercomputing technology, the RIKEN Supercomputer Fugaku. Developed through a pioneering collaboration among the Tokyo Institute of Technology, Tohoku University, Fujitsu Limited, RIKEN, Nagoya University, CyberAgent Inc., and Kotoba Technologies…