What if your AI system could not only understand text but also seamlessly interpret images, audio, and video in one cohesive flow? This is where Multimodal Retrieval-Augmented Generation (RAG) steps in, transforming the way we interact with technology. According to a report by MarketsandMarkets, the multimodal AI market is expected to grow at a staggering CAGR of 35%, reaching $4.5billion
Every day, millions of us interact with AI agents without even realizing it. From Tesla’s self-driving cars making split-second decisions to Amazon’s recommendation engine influencing a significant portion of all purchases AI agents have become a crucial workforce reshaping businesses these days. These are just a few of the many AI agent examples that have become the talk of the
Standing at the crossroads of AI implementation, businesses worldwide face a critical decision that could shape their competitive edge. According to Gartner’s 2024 CIO Agenda, 55% of organizations are actively implementing or planning to deploy open-source language models to drive innovation and reduce costs. Yet, the choice between Alpaca vs Llama AI remains a key decision that can significantly impact
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