Create Adaptive AI with Amazon Bedrock and SageMaker

Amazon Bedrock introduces new capabilities for creating adaptive and context-aware AI. This serverless AWS-based solution enables organizations to develop responsible AI systems that comply with regulatory requirements for vulnerable populations.

Accelerating LLM Fine-Tuning Using Unstructured Data

Recently, AWS announced the integration between Amazon SageMaker Unified Studio and Amazon S3. This simplifies the use of unstructured data for machine learning and data analytics tasks.

Integration with Amazon SageMaker

In this post, we will explore how to integrate S3 with the Amazon SageMaker Catalog for fine-tuning the Llama 3.2 11B Vision Instruct model for visual question-answering interactions.

What's New in Amazon Polly

Amazon has introduced a new Bidirectional Streaming API for real-time speech synthesis. This solution allows for simultaneous text submission and audio retrieval, which is particularly useful for conversational AI applications.

Deploying Voice Agents

In the first post of the series, we will discuss how to deploy Pipecat voice agents on Amazon Bedrock AgentCore Runtime using various networking approaches, including WebSockets and WebRTC.

Deploying AI Endpoints with SageMaker

We will demonstrate how to search for available GPU resources, create reservation plans for inference, and deploy AI endpoints on SageMaker.

Integration with Slack

In this post, we will show how to create an integration with Slack using AWS CDK and deploy the infrastructure using AWS Lambda.