Learn about new Amazon Nova foundation models

Amazon Titan Foundation Models

High-performing foundation models from Amazon
Get started with Amazon Foundation Models in Amazon Bedrock

Benefits

State-of-the-art text, multimodal intelligence, embeddings, and image and video generation make Amazon Nova and Amazon Titan foundation models (FMs) excellent for a broad range of applications, including cost- and latency-sensitive applications, multimodal reasoning, advanced agentic applications, and creative content generation.

For complex interactions with real-world entities, builders are increasingly relying on AI agents and agentic applications. Amazon Nova understanding models excel in function calling and agentic applications. They are the ideal choice for advanced agentic applications that need to reason over inputs, break complex problems into multiple steps, and take actions to perform tasks in your environment.

All Amazon FMs are designed to enable the responsible use of AI, by detecting and removing harmful content from the data, rejecting inappropriate user inputs, and filtering model outputs. Amazon image and video generation models support capabilities such as watermarking and C2PA support.

Amazon Nova and Amazon Titan FMs offer fine-tuning capabilities for developers to use their own data to customize their model responses with Retrieval Augmented Generation (RAG). You can use text and multimodal fine-tuning to teach the model to understand custom text and visual content. You can also optimize the model through techniques, such as distillation, to operate at the optimal intelligence, cost, and latency for your use case.

Meet Amazon Titan

Exclusive to Amazon Bedrock, the Amazon Titan family of models incorporates our 25 years of experience innovating with AI and machine learning (ML) across our business. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices through a fully managed API. Amazon Titan models are created by AWS and pretrained on large datasets, making them powerful, general-purpose models built to support a variety of use cases while also supporting the responsible use of AI. Use them as is or privately customize them with your own data.

Use cases

Use Amazon Titan Text models to improve productivity and efficiency for an extensive range of text-related tasks, such as creating copy for blog posts and web pages, classifying articles into categories, open-ended Q&A, conversational chat, information extraction, and more.

Use Amazon Titan Text models to get concise summaries of long documents such as articles, reports, research papers, technical documentation, and more to quickly and effectively extract important information.

Use Amazon Titan Multimodal Embeddings and Amazon Titan Text Embeddings to power more accurate and contextually relevant multimodal search, recommendation, and personalization experiences for end users.

Enable content creators with rapid ideation, customization, and iteration resulting in high efficiency image generation and image editing. Customers in industries like advertising, ecommerce, and media and entertainment can generate realistic, studio-quality images in large volumes and at low cost using natural language prompts.

Deliver more up-to-date and accurate results for user queries by connecting FMs to your data sources. Extend the already powerful capabilities of Amazon Titan models and make them more knowledgeable about your specific domain and organization.

Model versions

Amazon Titan Text Premier

Amazon Titan Text Premier is a powerful and advanced large language model (LLM) within the Amazon Titan Text family, designed to deliver superior performance across a wide range of enterprise applications. This model is optimized for integration with Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases, making it an ideal option for building interactive generative AI applications that can use your APIs and interact with your data. 

Max tokens: 32K

Languages: English

Fine-tuning supported: Yes (preview)

Supported use cases: Chat, chain of thought reasoning, open-ended text generation, brainstorming, summarization, code generation, table creation, data formatting, paraphrasing, rewriting, extraction, and Q&A

Read the blog

Watch Amazon Titan Text Premier demo

Amazon Titan Text Express

Amazon Titan Text Express is an LLM offering a balance of price and performance.

Max tokens: 8K

Languages: English (GA), 100+ languages available (preview)

Fine-tuning supported: Yes

Supported use cases: Open-ended text generation, brainstorming, summarization, code generation, table creation, data formatting, paraphrasing, chain of thought, rewriting, extraction, Q&A, and chat

Watch Amazon Titan Text demo

Watch re:Invent session

Amazon Titan Text Lite

Amazon Titan Text Lite is a cost-effective and highly customizable LLM. It's rightsized for specific use cases and ideal for text generation tasks and fine-tuning.

Max tokens: 4K

Languages: English

Fine-tuning supported: Yes

Supported use cases: Summarization and copywriting

Watch Amazon Titan Text demo

Watch re:Invent session

Amazon Titan Text Embeddings

Amazon Titan Text Embeddings is a model that translates text into vector representations (embeddings).

Max tokens: 8K

Languages: 25+ languages

Fine-tuning supported: No

Embeddings: 1,536

Supported use cases: Text retrieval, semantic similarity, and clustering

Read the blog

Amazon Titan Text Embeddings V2

Amazon Titan Text Embeddings V2 is an embeddings model optimized for high accuracy and retrieval performance at smaller dimensions for reduced storage and latency.

Max tokens: 8K

Languages: 100+ in pretraining

Fine-tuning supported: No

Normalization supported: Yes

Embeddings: 256, 512, 1,024

Supported use cases: Semantic similarity searching to find documents (for example, detecting plagiarism), classifying labels into data-based learned representations (for example, categorizing movies into genres), and improving quality and relevance of retrieved or generated search results

Read the blog

Read the blog

Amazon Titan Multimodal Embeddings

Amazon Titan Multimodel Embeddings powers accurate multimodal search and recommendation experiences.

Max tokens: 128

Max images size: 25 MB

Languages: English

Fine-tuning supported: Yes

Embeddings: 1,024 (default), 384, 256

Supported use cases: Search, recommendation, and personalization

Amazon Titan Image Generator

With Amazon Titan Image Generator, generate realistic, studio-quality images using text prompts.

Max characters: 512

Languages: English

Fine-tuning supported: Yes

Supported use cases: Text-to-image generation, image editing, and image variations

Read the blog

Watch Amazon Titan Image Generator demo

Watch watermark detection demo

Watch re:Invent session

Amazon Titan Image Generator v2

With Amazon Titan Image Generator v2, generate photorealistic images, with support for image conditioning, subject consistency, instant customization, and background removal

Max characters: 512

Supported input/output image formats: PNG, JPEG

Languages: English

Fine-tuning supported: Yes

Supported use cases: Text-to-image generation, image editing, image variation, image conditioning using a reference image, subject consistency using fine-tuning (preserve specific subjects in generated images), and automated background removal

Read the announcement

 

Videos

Amazon Titan Text Premier Demo (1:30)
Amazon Titan Image Generator Demo: Image Playground (5:53)
Amazon Titan Image Generator Demo: Watermark Detection (6:11)
AWS re:Invent 2023: Explore Image Generation and Search with FMs on Amazon Bedrock (59:23)
Amazon Titan Text Demo (8:34)
AWS re:Invent 2023: Explore Amazon Titan for Language Tasks (39:00)

Videos

Amazon Titan Text Demo (8:34)
Amazon Titan Image Generator Demo: Image Playground (5:53)
AWS re:Invent 2023: Explore Amazon Titan for Language Tasks (39:00)
AWS re:Invent 2023: Explore Image Generation and Search with FMs on Amazon Bedrock (59:23)

Amazon Titan Image Generator features

Amazon Titan Image Generator empowers content creators with rapid ideation and iteration for highly efficient image generation. Users can guide image creation using reference images, edit existing visuals, remove backgrounds, and generate image variations—all while securely customizing the model to maintain brand style and subject consistency. This powerful tool streamlines workflows, boosts productivity, and brings creative visions to life.

Amazon FM use cases

Use Amazon Nova Micro and Amazon Nova Lite for lightning-fast inferences for text and multimodal use cases.

Use Amazon Nova multimodal understanding models for tasks that require any combination of text, image, and video understanding from document analysis to chart interpretation to video analysis.

Use Amazon Nova creative content generation models to generate high-quality images and realistic videos up to six seconds long with state-of-the art visual and temporal consistency while maintaining responsible AI safeguards.

Build RAG applications using Amazon Nova understanding models and Amazon Bedrock Knowledge Bases for tasks that require access to proprietary data such as live Q&A or medical inquiries.

Address global use cases with Amazon Nova support for over 200 languages. This is ideal for translation and tasks involving sophisticated cross-modal understanding.