Generative Data Intelligence

Tag: IAM

Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock | Amazon Web Services

Migrating to the cloud is an essential step for modern organizations aiming to capitalize on the flexibility and scale of cloud resources. Tools like...

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Manage your Amazon Lex bot via AWS CloudFormation templates | Amazon Web Services

Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in...

Knostic Brings Access Control to LLMs

Security startup Knostic is the latest company to address the various challenges organizations face as they adopt generative artificial intelligence (AI) tools. This week...

Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model | Amazon Web Services

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and...

Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy | Amazon Web Services

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely...

Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat | Amazon Web Services

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications,...

Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2 | Amazon Web Services

Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering...

Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2 | Amazon Web Services

This is a guest post co-written with Meta’s PyTorch team and is a continuation of Part 1 of this series, where we demonstrate the...

Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center | Amazon Web Services

Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an...

Advanced RAG patterns on Amazon SageMaker | Amazon Web Services

Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS),...

Fine-tune your Amazon Titan Image Generator G1 model using Amazon Bedrock model customization | Amazon Web Services

Amazon Titan lmage Generator G1 is a cutting-edge text-to-image model, available via Amazon Bedrock, that is able to understand prompts describing multiple objects in...

Best practices for building secure applications with Amazon Transcribe | Amazon Web Services

Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode. It uses machine learning–powered...

Navigating the digital identity landscape: A blueprint for financial services competitiveness

In the fast-paced realm of financial services, digital transformation is reshaping the competitive landscape. The emergence of digital disruptors has redefined customer expectations, emphasising...

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