Anthropic Claude on Amazon Bedrock

Build generative AI solutions with Anthropic’s state-of-the-art model, Claude
Get started with Claude on Amazon Bedrock

Benefits

  • Anthropic doubled the amount of information you can relay to Claude expanding to 200,000 tokens, translating to roughly 150,000 words, or over 500 pages of material. You can now upload technical documentation like entire codebases, financial statements, or even long literary works. By being able to talk to large bodies of content or data, Claude can summarize, perform Q&A, forecast trends, compare and contrast multiple documents, and much more.

  • Claude can be used for sophisticated dialogue, creative content generation, complex reasoning, coding, and detailed instruction. It can edit, rewrite, summarize, classify, extract structured data, do Q&A based on the content, and more.

  • Claude is based on Anthropic’s leading safety research, and built with techniques including Constitutional AI. Designed to reduce brand risk, Claude aims to be helpful, honest, and harmless.

Benefits

  • Anthropic doubled the amount of information you can relay to Claude expanding to 200,000 tokens, translating to roughly 150,000 words, or over 500 pages of material. You can now upload technical documentation like entire codebases, financial statements, or even long literary works. By being able to talk to large bodies of content or data, Claude can summarize, perform Q&A, forecast trends, compare and contrast multiple documents, and much more.

  • Claude can be used for sophisticated dialogue, creative content generation, complex reasoning, coding and detailed instruction. It can edit, rewrite, summarize, classify, extract structured data, do Q&A based on the content, and more.

  • Claude is based on Anthropic’s leading safety research, and built with techniques including Constitutional AI. Designed to reduce brand risk, Claude aims to be helpful, honest, and harmless.

Meet Claude, Anthropic's large language model

Claude is based on Anthropic’s research into creating reliable, interpretable, and steerable AI systems. Created using techniques like Constitutional AI and harmlessness training, Claude excels at thoughtful dialogue, content creation, complex reasoning, creativity, and coding.

Using Claude on Amazon Bedrock
Prompt engineering best practices for LLMs on Amazon Bedrock

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.

Use cases

  • Claude can act as an always-on virtual sales representative, ensure speedy and friendly resolution to service requests, and increase customer satisfaction.

  • Claude can extract relevant information from business emails and documents, categorize and summarize survey responses, and wrangle reams of text with high speed and accuracy.

  • Claude is able to parse legal documents and answer questions about them, so lawyers can reduce costs and focus on higher-level work.

  • Claude models are constantly improving on coding, math, and reasoning. The latest model Claude 2 scored 71.2% (up from 56.0%) on the Codex HumanEval, a Python coding test.

Use cases

  • Claude can act as an always-on virtual sales representative, ensure speedy and friendly resolution to service requests, and increase customer satisfaction.

  • Claude can extract relevant information from business emails and documents, categorize and summarize survey responses, and wrangle reams of text with high speed and accuracy.

  • Claude is able to parse legal documents and answer questions about them, so lawyers can reduce costs and focus on higher level work.

  • Claude models are constantly improving on coding, math, and reasoning. The latest model Claude 2 scored 71.2% (up from 56.0%) on the Codex HumanEval, a Python coding test.

Model versions

Claude 2.1

Claude 2.1 is Anthropic’s latest large language model (LLM) with an industry-leading 200K token context window, reduced hallucination rates, and improved accuracy over long documents.

Max tokens: 200K

Languages: English and multiple other languages

Supported use cases: Summarization, Q&A, trend forecasting, comparing and contrasting multiple documents, and analysis. Claude 2.1 excels at the core capabilities of Claude 2.0 and Claude Instant.

Claude 2.0

Claude 2.0 is a leading LLM from Anthropic that enables a wide range of tasks from sophisticated dialogue and creative content generation to detailed instruction.

Max tokens: 100K

Languages: English and multiple other languages

Supported use cases: Thoughtful dialogue, content creation, complex reasoning, creativity, and coding.

Claude 1.3

Claude 1.3 is an earlier version of Anthropic's general-purpose LLM.

Max tokens: 100K

Languages: English and multiple other languages

Supported use cases: Search, writing, editing, outlining, and summarizing text; coding; and providing helpful advice about a broad range of subjects.

Claude Instant

Claude Instant is Anthropic's faster, lower-priced yet very capable LLM.

Max tokens: 100K

Languages: English and multiple other languages

Supported use cases: Casual dialogue, text analysis, summarization, and document comprehension.