Build a generative AI Slack chat assistant using Amazon Bedrock and Amazon Kendra | Amazon Web Services

Build a generative AI Slack chat assistant using Amazon Bedrock and Amazon Kendra | Amazon Web Services

Despite the proliferation of information and data in business environments, employees and stakeholders often find themselves searching for information and struggling to get their questions answered quickly and efficiently. This can lead… Article Source https://aws.amazon.com/blogs/machine-learning/build-a-generative-ai-slack-chat-assistant-using-amazon-bedrock-and-amazon-kendra/

Leveraging agents for Amazon Bedrock to dynamically generate infrastructure as code on Amazon Web Services

Leveraging agents for Amazon Bedrock to dynamically generate infrastructure as code on Amazon Web Services

Amazon Bedrock Agents offer a practical and innovative option for teams looking to enhance their Infrastructure as Code (IaC) processes in the diverse array of tools available for cloud infrastructure implementation. These agents automate request engineering and task orchestration requested by the user. Once configured, an agent creates the request and enhances it with specific … Read more

Elasticsearch’s Open Inference API and Playground now offer support for Amazon Bedrock

Elasticsearch’s Open Inference API and Playground now offer support for Amazon Bedrock

Elastic, a search AI company, has announced its support for the Amazon Bedrock models hosted on Elasticsearch Open Inference API and Playground. This new integration allows developers to use any large language model (LLM) available on Amazon Bedrock to create production-ready RAG applications. Shay Banon, the founder and CTO of Elastic, stated that this integration … Read more

Simplify the development of generative AI in Amazon Bedrock with Prompt Management and Prompt Flows (preview) | Amazon Web Services

Simplify the development of generative AI in Amazon Bedrock with Prompt Management and Prompt Flows (preview) | Amazon Web Services

Amazon Bedrock has introduced two new powerful features in public preview: Prompt Management and Prompt Flows. These features aim to enhance the development, testing, and deployment of generative AI applications, making it easier for developers and business users to create efficient and effective solutions. The prompting lifecycle involves stages such as prompt design, testing, refinement, … Read more

Update from AWS: Guardrails now available as standalone API with Bedrock upgrade

Update from AWS: Guardrails now available as standalone API with Bedrock upgrade

Amazon Web Services (AWS) introduced a new feature called Guardrails API during its annual summit in New York. This API, previously only available on Amazon Bedrock, is now standalone and allows users to set up guardrails for AI applications, regardless of whether they are using Amazon Bedrock or not. Vasi Philomin, AWS’s vice president of … Read more

Amazon Bedrock now supports advanced parsing, chunking, and query reformulation for improved accuracy in RAG-based applications- AWS Knowledge Bases

Amazon Bedrock now supports advanced parsing, chunking, and query reformulation for improved accuracy in RAG-based applications- AWS Knowledge Bases

Knowledge Bases for Amazon Bedrock provides a managed service for implementing the Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without the need for custom integrations. However, in large or complex input text documents with PDF or .txt files, querying indexes may yield subpar results due to semantic relationships. New features … Read more

Amazon Bedrock guardrails now have the ability to detect hallucinations and protect custom or third-party FM-built apps | AWS

Amazon Bedrock guardrails now have the ability to detect hallucinations and protect custom or third-party FM-built apps | AWS

Amazon Bedrock’s Guardrails offer customers the ability to implement safeguards tailored to application requirements and enterprise AI policies. These guardrails aim to prevent unwanted content, thwart rapid attacks, and eliminate privacy breaches. By combining various policy types, users can configure these safeguards for different scenarios and extend them to both base models within Amazon Bedrock … Read more

AWS Launches GenAI App Studio and Releases Updates for Amazon Q and Bedrock | TechTarget

AWS Launches GenAI App Studio and Releases Updates for Amazon Q and Bedrock | TechTarget

AWS presentó nuevas aplicaciones de inteligencia artificial y actualizaciones de sus servicios, destacando AWS App Studio, un servicio que facilita la creación de aplicaciones empresariales a través del lenguaje natural. Además, se introdujeron nuevas capacidades en Amazon Q y Bedrock, con un enfoque en la personalización y la generación de aplicaciones. Las mejoras en Amazon … Read more

Updates to Amazon Bedrock: Incorporating Contextual Grounding and RAG connectors

Updates to Amazon Bedrock: Incorporating Contextual Grounding and RAG connectors

Amazon Web Services (AWS) recently updated its Generative AI development service with new features to help businesses create applications more easily. These updates include contextual grounding, connectors for Recovery Augmented Generation (RAG), and additional Large Language Models (LLM). According to Vasi Philomin, Amazon’s Vice President of Generative AI, contextual grounding is a new feature aimed … Read more

Amazon Bedrock agents now have enhanced memory retention and code interpretation capabilities (preview)

Amazon Bedrock agents now have enhanced memory retention and code interpretation capabilities (preview)

Amazon Bedrock Agents, a generative artificial intelligence (AI) application, has introduced two new managed capabilities in a preview version. The first capability is the ability for agents to retain memory throughout multiple interactions with users. This feature allows agents to remember previous conversations and user preferences, creating a personalized and efficient experience, especially for complex … Read more