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Browsing: AI AWS
Multi-tenant RAG implementation with Amazon Bedrock and Amazon OpenSearch Service for SaaS using JWT
In recent years, the emergence of large language models (LLMs) has accelerated AI adoption across various industries. However, to further…
In 2024, the Ministry of Economy, Trade and Industry (METI) launched the Generative AI Accelerator Challenge (GENIAC)—a Japanese national program…
Extracting meaningful insights from unstructured data presents significant challenges for many organizations. Meeting recordings, customer interactions, and interviews contain invaluable…
Amazon Bedrock offers model customization capabilities for customers to tailor versions of foundation models (FMs) to their specific needs through…
Vector embeddings have become essential for modern Retrieval Augmented Generation (RAG) applications, but organizations face significant cost challenges as they…
Successful generative AI software as a service (SaaS) systems require a balance between service scalability and cost management. This becomes…
AI-powered speech solutions are transforming contact centers by enabling natural conversations between customers and AI agents, shortening wait times, and…
Generative AI is transforming how businesses deliver personalized experiences across industries, including travel and hospitality. Travel agents are enhancing their…
Evaluating the performance of large language models (LLMs) goes beyond statistical metrics like perplexity or bilingual evaluation understudy (BLEU) scores.…
This post was written with Ilan Geller, Kamal Mannar, Debasmita Ghosh, and Nakul Aggarwal of Accenture. Video highlights offer a…