Amazon Bedrock's Knowledge Bases feature is aimed at securely linking foundation models with company data using Retrieval Augmented Generation (RAG). This boosts the RAG workflow, eliminating the need for custom data source integrations and data flow management. Guardrails for Amazon Bedrock enables organizations to implement safeguards tailored to their use cases and responsible AI policies.…
The AWS Generative AI Innovation Center has developed an AI assistant for generating medical content using language learning models (LLMs). Notably, the assistant can reduce content generation time for disease awareness marketing from weeks to hours. Through automation, users can provide the AI with instructions and comments, allowing editing and control over the generation process.…
Foreigners and expatriates residing outside their home countries are frequently confronted with language barriers while trying to decipher emails and set reminders for various events such as business meetings, customer gatherings, and more. Amazon has developed a way to eradicate these language barriers by creating a fully automated, multilingual calendar Artificial Intelligence (AI) assistant utilizing…
Artificial intelligence (AI) has increasingly marked its presence in enterprises. More organizations leverage and customize digital assistants to answer domain-specific queries using a process called Retrieval Augmented Generation (RAG). As companies shift from concepts to production workloads, the focus turns to minimizing operational overhead while optimizing costs and implementing proper security measures.
This article covers the…
In November 2023, Amazon announced the general availability of Knowledge Bases for Amazon Bedrock. Knowledge bases enable users to incorporate their company data into the Retrieval Augmented Generation (RAG) process, enhancing the relevance, accuracy, and contextual awareness of the language model’s outputs. This tool helps organizations make better use of large language models by ensuring…
Amazon Bedrock, a managed service that offers a selection of foundation models from leading AI companies, empowers users to build new, delightful experiences for their customers using generative AI. As a response to end users' curiosity for prescriptive ways to monitor generative AI applications' health and performance in an operational environment, Amazon Bedrock has introduced…
Amazon Bedrock, a generative artificial intelligence (AI) service, allows customers to build new and delightful user experiences using high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, and Meta. Users can use these models securely, privately, and responsibly through a single API, along with a broad set of capabilities for building…
Customer feedback analysis can provide crucial insights for a business, but manually analyzing and categorizing these large volumes of unstructured data is a time-consuming task that is prone to inconsistencies and subjectivity. The process can be streamlined through the use of large language models (LLMs), comprehensive machine learning models that can interpret, generate, and analyze…
In recent years, the deployment of artificial intelligence (AI) in customer-facing roles has seen a significant increase, particularly in the use of large language models (LLMs) which engage in natural language conversations. This article focuses on the usage of AI in travel companies to create and operate virtual travel agents. These AI-powered assistants can handle…