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Process formulas and charts with Anthropic’s Claude on Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices.

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Using Agents for Amazon Bedrock to interactively generate infrastructure as code

AWS Machine Learning Blog

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After being configured, an agent builds the prompt and augments it with your company-specific information to provide responses back to the user in natural language. He holds an MS degree in Computer Science.

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Designing generative AI workloads for resilience

AWS Machine Learning Blog

Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.

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GenASL: Generative AI-powered American Sign Language avatars

AWS Machine Learning Blog

The rise of foundation models (FMs), and the fascinating world of generative AI that we live in, is incredibly exciting and opens doors to imagine and build what wasn’t previously possible. We use the few-shot prompting technique by providing a few examples to produce an accurate ASL gloss.

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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

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Automate user on-boarding for financial services with a digital assistant powered by Amazon Bedrock

AWS Machine Learning Blog

Prompt design for agent orchestration Now, let’s take a look at how we give our digital assistant, Penny, the capability to handle onboarding for financial services. The key is the prompt engineering for the custom LangChain agent. Prompt design is key to unlocking the versatility of LLMs for real-world automation.