🚀 RAG: A Game Changer for AI in Business In an interview with Maxime Vermeir, Senior Director of AI Strategy at ABBYY, we uncover how retrieval-augmented generation (RAG) is transforming AI by enhancing LLM accuracy with real-time, structured data. 🔹 How it works: RAG retrieves relevant knowledge, enriches queries, and feeds them to an LLM for precise, context-aware responses. 🏢 Business impact: From internal knowledge management to AI-powered customer support, RAG unlocks company data like never before. ✈️ In travel: Imagine AI trip planners that adapt instantly to real-time disruptions like flight delays. RAG isn’t replacing NLP (Natural Language Processing), it’s making it smarter! How do you see it shaping AI’s future? 🚀 🔗 Read more: https://lnkd.in/d-qHpxwj Thanks, Julia Luczak-Rougeaux and TOM (TRAVEL ON MOVE), for the great discussion! #RAG #AI #DigitalTransformation #LLM #NLP
Professional Freelancer | CIC (IoT AND CYBERSECURITY INCLUDING BLOCKCHAIN TECHNOLOGY) | Founder at Neufology | LLM Developer || Top 3 at THM
1dThis is a great breakdown of how RAG is transforming AI applications in real time! Love the example of its use in travel. AI that adapts to flight delays or health restrictions sounds like a game-changer. Excited to see how this shapes smarter, more context-aware solutions across industries! Also curious about the role of CAG (Context-Aware Generation) alongside RAG—combining both could push the boundaries of adaptive AI even further.