"Generative AI-RAG with Different Cloud Technologies" - Mahesh Soni скачать в хорошем качестве

"Generative AI-RAG with Different Cloud Technologies" - Mahesh Soni

Mahesh Soni, a Senior Cloud Architect and industry veteran, delivers an analytical deep dive into "Generative AI-RAG with Different Cloud Technologies," providing a technical roadmap for the next generation of AI implementation. He addresses the core limitations of traditional AI models, such as security risks and data inaccuracy, by detailing the mechanics of Retrieval-Augmented Generation (RAG). By breaking down the RAG pipeline into document ingestion, chunking, and vector database embedding, Mahesh explains how enterprises can ground Large Language Models (LLMs) in "polished," reliable data to produce precise, human-language outputs. He further explores the practical application of these architectures across major platforms, comparing how AWS Bedrock, Google Vertex AI, and Pega utilize proprietary agents and search layers to facilitate secure, high-speed data processing. Ultimately, Mahesh envisions a future where operational complexity and governance barriers are overcome through standardization, urging students and professionals alike to continuously evolve their skill sets to master the rapid innovations within the cloud and AI ecosystems. If you’re interested in the opportunity to participate or speak at future EnviroCast GEO conferences, learn more and get involved by visiting https://geo.envirocast.org.