Introducing the latest Claude models
Choose the exact combination of intelligence, speed, and cost to suit your needs. All of the latest Claude models are available now in Amazon Bedrock.
Trustworthy AI Systems
Anthropic was founded to create the world’s safest and most capable large language model. Claude is Anthropic’s frontier, state-of-the-art large language models that offers important features for enterprises like advanced reasoning, vision analysis, code generation, and multilingual processing. Hear from Neerav Kingsland, Head of Global Accounts at Anthropic, as he discusses what Claude’s availability in Amazon Bedrock can provide for businesses around the world.
Benefits
Amazon and Anthropic strategic collaboration
In this fireside chat, Dario Amodei, CEO and co-founder of Anthropic, discusses Claude and how Anthropic and AWS are working together to accelerate the responsible deployment of generative AI.
Unleashing the power of generative AI
In this fireside chat, Daniela Amodei, President and Co-founder of Anthropic, unveils ground-breaking advancements to revolutionize the enterprise landscape with generative AI. This discussion sheds light on the generative AI innovations that are poised to propel businesses into the next frontier of AI transformation. Anthropic and AWS are committed to delivering enterprise-grade AI solutions that prioritize accuracy, trustworthiness, reliability, and industry-leading safeguards.
Prompt engineering best practices from Anthropic
Prompt engineering is the process of guiding LLMs to produce desired outputs. Get an overview of prompt engineering best practices and learn how to choose the most appropriate formats, phrases, words, and symbols to get the most out of generative AI solutions while improving accuracy and performance. This session uses Anthropic's Claude LLM as an example of how prompt engineering helps to solve complex customer use cases. Also learn how prompts can be integrated with your architecture and how to use API parameters for tuning the model parameters using Amazon Bedrock.