๐ ๐ง๐ต๐ฒ ๐๐ฒ๐ป ๐๐ ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐ ๐ง๐ผ ๐ช๐ฎ๐๐ฐ๐ต ๐ข๐๐ ๐๐ผ๐ฟ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ ๐ฎ๐ป๐ฑ ๐ฏ๐ฒ๐๐ผ๐ป๐ฑ! ๐ Model innovations: - Light & open-source LLMs - Multistage LLM chains - Model hubs & diffusion AI - AIMaaS for scalable AI services ๐ Build & Data: - Knowledge graphs - AI-generated synthetic data - Scalable vector databases - GenAI engineering tools ๐ ๏ธ AI Applications: - Simulation twins & GenAI-native apps - Enhanced workflow tools - Multiagent generative systems ๐ก๏ธ Safety Related: - User-in-the-loop AI for safer outcomes - Hallucination management - Retrieval-augmented generation (RAG) - GenAI extensions & prompt engineering From light & open-source LLMs to AIMaaS, these innovations are shaping the future of AI. Prioritize near-term technologies before long-range GenAI investments. Join us tomorrow for our next sessions on Agentic AI & MCP: https://lnkd.in/gPt7GieZ Which one are you keeping an eye on? ---- ๐ฏ Follow for Agentic AI, Gen AI & RPA trends: https://lnkd.in/gFwv7QiX #AI #innovation #technology #automation
