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Amazon Nova - Amazon's new large-scale model series, covering text, image, and video generation.

Amazon Nova is a next-generation family of AI foundational models from Amazon Web Services (AWS), offering industry-leading performance and cost-effectiveness. The family includes Amazon Nova Micro, specifically designed for text processing, and Amazon Nova for multimodal applications...

What is Amazon Nova?

Amazon Nova is a next-generation family of AI foundational models from Amazon Web Services (AWS), offering industry-leading performance and cost-effectiveness. The family includes Amazon Nova Micro (for text processing), Amazon Nova Lite and Amazon Nova Pro (multimodal), Amazon Nova Premier, Amazon Nova Canvas (for image generation), and Amazon Nova Reel (for video generation). These models can understand and generate text, images, and video content, supporting over 200 languages and covering various application scenarios such as customer service, content creation, and language translation. Amazon Nova is built on Amazon Bedrock, allowing for customized tuning and model refinement to adapt to specific business needs and improve task performance and efficiency.

Amazon Nova's model series and main features

Amazon Nova MicroPure text model, 128k context window, lowest latency, fastest response speed.

  • Text processingIt focuses on processing text input and generating text output.
  • Low latency responseProvides a fast response time.
  • low costDelivering high-performance language understanding, translation, reasoning, code completion, brainstorming, and mathematical problem-solving at a drop cost.
  • High-speed generationThe generation speed exceeds 200 tags per second.
  • Multilingual supportSupports more than 200 languages.
  • Fine-tuning supportSupports fine-tuning using text input.

Amazon Nova LiteLow-cost multimodal model with a 300k context window, capable of quickly processing image, video, and text input.

  • Multimodal processingQuickly process image, video, and text input.
  • Wide range of task adaptabilitySuitable for a wide range of interactive and high-volume applications, especially in scenarios where cost is a key consideration.
  • Multilingual supportSupports more than 200 languages.
  • Fine-tuning supportSupports fine-tuning of text, image, and video input.

Amazon Nova ProMultimodal model, 300k context window, balancing accuracy, speed and cost, capable of video understanding and generating creative materials.

  • Multimodal modelIt offers the best combination of accuracy, speed, and cost.
  • task breadthSuitable for a variety of tasks such as video summarization, question answering, mathematical reasoning, software development, and AI agents that execute multi-step workflows.
  • Industry-leading speed and cost efficiencyIt performed exceptionally well in text and visual intelligence benchmark tests.
  • Multilingual supportSupports more than 200 languages.
  • Fine-tuning supportSupports fine-tuning of text, image, and video input.

Amazon Nova PremierMultimodal AI models perform complex reasoning tasks.

  • Handling multiple inputsIt can handle text, image, and video input (excluding audio) and is suitable for workflows involving cross-document understanding, visual analysis, video summarization, or a combination of multiple modes.
  • Long context processingIt supports context lengths of up to 1 million tokens, enabling it to handle extremely long documents or large codebases.
  • Deep Context UnderstandingSkilled at handling complex tasks that require a deep understanding of the context.
  • Multi-step planning and executionIt can perform multi-step planning and accurately execute tasks across multiple tools and data sources.
  • Coordinating multi-agent cooperationIt can act as a supervisory agent to coordinate the entire workflow, break down complex tasks into sub-tasks and assign them to different sub-agents, and then integrate the results to form the final response.
  • As a teacher modelAmazon Bedrock’s model distillation feature allows you to transfer your capabilities to smaller models (such as Nova Pro, Lite, or Micro) to create smaller, faster, and more cost-effective versions of your models.

Amazon Nova CanvasImage generation model that supports image generation and editing, provides color schemes and layout controls, and includes built-in security controls for traceable watermarking and content moderation to restrict the generation of harmful content.

  • Image generationCreate professional-grade images from text or image prompts.
  • Editing functionIt offers easy-to-use features, allowing users to edit images using text input, and adjust color schemes and layouts.
  • Safe and responsible use of AIBuilt-in support for safe and responsible AI use.

Amazon Nova Reel: Video generation model that can generate videos based on keywords or optional reference images.6 secondsThe video allows users to adjust camera movement to generate videos with panning, 360-degree rotation, and zoom.

  • Video generationCreate high-quality videos from text and images.
  • Natural Language PromptsIt supports controlling visual style and rhythm with natural language prompts, including camera motion control.
  • Safe and responsible use of AIBuilt-in support for safe and responsible AI use.

The technical principles of Amazon Nova

  • Deep learning and neural networksBased on deep learning architecture, especially the Transformers model, it is a deep learning model that excels at processing sequential data and is widely used in tasks such as language translation, text summarization, and question answering systems.
  • Multimodal learningMultimodal models such as Amazon Nova Lite and Amazon Nova Pro can process and understand various types of data input, including text, images, and video. The goal is for these models to learn and integrate the relationships between different modalities.
  • Pre-training and fine-tuningThe model is first pre-trained on a large-scale dataset to learn basic tasks such as language and vision. Further fine-tuning optimizes the model to adapt it to specific application scenarios or customer data.
  • Retrieval Augmented Generation (RAG)Using RAG technology, combined with retrieval and generation methods, we can provide more accurate information and responses.
  • Natural Language Understanding (NLU): Using NLU technology to parse and understand natural language input, including intent recognition, sentiment analysis, and entity recognition.

Amazon Nova project address

Application scenarios of Amazon Nova

  • Customer service and supportAmazon Nova Pro or Amazon Nova Lite handles customer inquiries, providing automated customer support and responses.
  • Content creation and editingAmazon Nova Canvas and Amazon Nova Reel generate or edit image and video content for advertising, social media, and digital marketing.
  • Language translation and localizationAmazon Nova Micro or Amazon Nova Lite can be used for language translation to help businesses localize their content.
  • Data Analysis and InsightsAmazon Nova Pro analyzes videos, charts, and documents to extract key information and insights to support decision-making.
  • Software Development and Code GenerationAmazon Nova Micro assists in software development, including code completion and debugging.
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