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Favorite Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries. The relevance
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Shared by AWS Machine Learning November 21, 2024
Favorite Email remains a vital communication channel for business customers, especially in HR, where responding to inquiries can use up staff resources and cause delays. The extensive knowledge required can make it overwhelming to respond to email inquiries manually. In the future, high automation will play a crucial role in
Read More Shared by AWS Machine Learning November 21, 2024
Favorite In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. In this post, we
Read More Shared by AWS Machine Learning November 21, 2024
Favorite As companies of all sizes continue to build generative AI applications, the need for robust governance and control mechanisms becomes crucial. With the growing complexity of generative AI models, organizations face challenges in maintaining compliance, mitigating risks, and upholding ethical standards. This is where the concept of guardrails comes
Read More Shared by AWS Machine Learning November 19, 2024
Favorite In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails. Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon
Read More Shared by AWS Machine Learning November 19, 2024
Favorite In the rapidly evolving world of AI, the ability to customize language models for specific industries has become more important. Although large language models (LLMs) are adept at handling a wide range of tasks with natural language, they excel at general purpose tasks as compared with specialized tasks. This
Read More Shared by AWS Machine Learning November 19, 2024
Favorite The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS
Read More Shared by AWS Machine Learning November 19, 2024
Favorite In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale race car driven by reinforcement learning. At the time, I knew little about AI or machine learning (ML). As an engineer transitioning from legacy networks to cloud technologies, I
Read More Shared by AWS Machine Learning November 19, 2024
Favorite This post is co-authored with Nishant Gupta from InsuranceDekho. The insurance industry is complex and overwhelming, with numerous options that can be hard for consumers to understand. This complexity hinders customers from making informed decisions. As a result, customers face challenges in selecting the right insurance coverage, while insurance
Read More Shared by AWS Machine Learning November 18, 2024
Favorite Recent enhancements in the field of generative AI, such as media generation technologies, are rapidly transforming the way businesses create and manipulate visual content. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic,
Read More Shared by AWS Machine Learning November 18, 2024