Implementing Resilience Patterns with Amazon Bedrock and LLM Gateway
In this post, you will learn five practical patterns for building resilient generative AI applications on AWS, progressing from native Amazon Bedrock feature.
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Part 2: Amazon Bedrock Cost Attribution with Amazon Athena and CUDOS
Learn how to visualize and analyze Amazon Bedrock cost attribution using Amazon Athena and CUDOS dashboards.
Automate Legacy Web Applications with Amazon Bedrock AgentCore Browser Tool
Learn how to automate legacy web applications that need human-like interaction using Amazon Bedrock AgentCore Browser Tool and Strands Agents.
Custom Reward Functions for Multi-turn Reinforcement Learning with Amazon Nova Forge
In multi-turn reinforcement learning, your custom reward function decides what the model actually learns.
Building Agentic Workflows with SageMaker AI and Bedrock AgentCore
Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each.
Feature
A Feature is an individual, measurable property or input variable used by a machine learning model to make predictions. In tabular datasets, features correspond to columns (e.g. square footage, age of home).
Generative AI
Generative AI refers to algorithms and models designed to generate new, original content, including text, images, music, code, or video. Popular architectures like Transformers, GANs, and Diffusion models serve as the engines powering generative AI platforms.
LLM
A Large Language Model (LLM) is a type of artificial intelligence model trained on vast amounts of text data to understand, generate, and manipulate natural language. Built on the Transformer architecture, LLMs use billions of parameters to recognize semantic patterns and reasoning relationships.
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