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.
Use cases
Model versions
Claude 3.5 Sonnet
Anthropic’s most intelligent and advanced model, Claude 3.5 Sonnet, demonstrates exceptional capabilities across a diverse range of tasks and evaluations. Claude 3.5 Sonnet excels in coding, writing, visual data extraction, agentic tasks, and tool use. The upgraded Claude 3.5 Sonnet (Claude 3.5 Sonnet v2) can now generate computer actions—like keystrokes and mouse clicks—accomplishing tasks that require hundreds of steps. According to Anthropic, you can automate busywork and mundane tasks with the first frontier-level AI model to reliably use computers in this way.
Max Tokens: 200K
Languages: English, Spanish, Japanese, and multiple other languages.
Fine-tuning supported: No
Supported Use Cases: RAG or search & retrieval over vast amounts of knowledge, product recommendations, forecasting, targeted marketing, code generation, quality control, parse text from images.
Claude 3.5 Haiku
Claude 3.5 Haiku, the latest generation of Anthropic's fastest model, is optimal for fast, high-performance tasks. Claude 3.5 Haiku is a text-only model that excels across areas like writing, data extraction and labeling, and code completion. With its new latency-optimized inference capability available in public preview, Claude 3.5 Haiku delivers even faster response times while maintaining high accuracy.
Max Tokens: 200K
Languages: English, Spanish, Japanese, and multiple other languages.
Fine-tuning supported: No
Supported Use Cases: Code completions, interactive chat bots, data extraction and labeling, and real-time content moderation.
Claude 3 Opus
Claude 3 Opus is a powerful and reliable AI model, with top-level performance on highly complex tasks. It can navigate open-ended prompts and sight-unseen scenarios with remarkable fluency and human-like understanding.
Max Tokens: 200K
Languages: English, Spanish, Japanese, and multiple other languages.
Fine-tuning supported: No
Supported Use Cases: Task automation, interactive coding, research review, brainstorming and hypothesis generation, advanced analysis of charts & graphs, financials and market trends, forecasting.
Claude 3 Haiku
Anthropic’s fastest, most compact model for near-instant responsiveness. It answers simple queries and requests with speed.
Max tokens: 200K
Languages: English, Spanish, Japanese, and multiple other languages.
Fine-tuning supported: Yes
Supported use cases: Quick and accurate support in live interactions, translations, content moderation, optimize logistics, inventory management, extract knowledge from unstructured data.
Claude 3 Sonnet
Claude 3 Sonnet is engineered to be dependable for scaled AI deployments across a variety of use cases.
Max tokens: 200K
Languages: English, Spanish, Japanese, and multiple other languages.
Fine-tuning supported: No
Supported use cases: RAG or search & retrieval over vast amounts of knowledge, product recommendations, forecasting, targeted marketing, code generation, quality control, parse text from images.
Claude 2.1
Claude 2.1 is a large language model (LLM) by Anthropic with a 200K token context window, reduced hallucination rates, and improved accuracy over long documents.
Max tokens: 200K
Languages: English and multiple other languages
Fine-tuning supported: No
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
Fine-tuning supported: No
Supported use cases: Thoughtful dialogue, content creation, complex reasoning, creativity, and coding.
Claude Instant
Claude Instant is Anthropic's faster, lower-priced yet very capable LLM.
Max tokens: 100K
Languages: English and multiple other languages
Fine-tuning supported: Yes (Preview)
Supported use cases: Casual dialogue, text analysis, summarization, and document comprehension.