Knowledge Bases for Amazon Bedrock is a new feature that allows users to securely connect foundation models (FMs) to their corporate data for Retrieval Augmented Generation (RAG). This improves the precision of responses by providing access to a broader range of data without having to retrain the foundation models.
There are two new features specific…
During the AWS re:Invent 2023, Amazon announced the general availability of Knowledge Bases for Amazon Bedrock. This allows secure connection of foundation models in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model.
This feature helps in improving the accuracy of the generated responses from foundation models depending upon the…
Amazon SageMaker Studio and Amazon SageMaker Canvas are powerful tools by AWS designed for machine learning (ML) development and operation. SageMaker Studio is a web-based, integrated development environment (IDE) allowing users to build, train, debug, deploy, and monitor ML models. SageMaker Canvas is a no-code ML tool enabling business and data teams to craft accurate…
Software engineering performance significantly impacts the building of sturdy, stable applications. The community aims to imbibe the engineering principles typical of software development, including systematic approaches to design, testing, development, and maintenance. This requires the careful amalgamation of applications and metrics to warrant complete control, awareness, and accuracy.
This could be achieved through practices such…
Amazon SageMaker Canvas offers users end-to-end machine learning (ML) applications without the need for coding. The interface supports functionalities such as data preparation, endpoint deployment, and adjustment of foundation models for generative AI among others.
A crucial step in enabling users and ensuring secure environments involves the use of single sign-on (SSO) via AWS IAM Identity…
Amazon Transcribe is an Amazon Web Services (AWS) tool that converts speech to text using machine learning technologies. It can be used for a wide range of applications such as transcribing customer care calls, voicemail messages, and generating subtitles for videos. Some customers may entrust sensitive and confidential data with the service, such as personal…
Many customers in sectors such as creative advertising, media and entertainment, ecommerce, and fashion often need to change the background in a large number of images, which usually involves a time-consuming manual editing process for each image. Amazon Bedrock, in conjunction with AWS Step Functions, makes it easy to automate the process of changing backgrounds…
Modern chatbots are revolutionizing the customer service sector by providing 24/7 support in multiple languages. Their ability to handle concurrent inquiries in real time, provide relevant data-driven insights, and scale effortlessly make them a cost-effective solution for customer engagement. These benefits are magnified when chatbots are integrated with internal knowledge bases and large language models…