Get Started with Llama 3.2 11B Vision on AWS Bedrock
AWS Bedrock offers access to Llama 3.2 11B Vision with a 128K context window. Amazon has not traditionally been known as an AI platform company, but they have incorporated AI and machine learning extensively into their products and services. Their AI efforts are primarily focused on enhancing customer experience, improving operational efficiency, and powering their cloud services through Amazon Web Services (AWS). Some key AI-driven features and products from Amazon include: 1. Alexa: Their voice-controlled AI assistant that powers Echo devices and integrates with various smart home products. 2. Amazon Personalize: A machine learning service that provides personalized product recommendations for e-commerce applications. 3. Amazon SageMaker: A fully managed machine learning platform that enables developers and data scientists to build, train, and deploy machine learning models quickly. 4. Amazon Rekognition: An AI-powered image and video analysis service that can detect objects, faces, text, and activities. 5. Amazon Lex: A service for building conversational interfaces using voice and text. 6. Amazon Forecast: A time-series forecasting service that uses machine learning to deliver highly accurate predictions. While Amazon doesn't market itself primarily as an AI platform, its extensive use of AI technologies across its ecosystem demonstrates a significant commitment to artificial intelligence as a core component of its business strategy and product offerings.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.27 |
Capabilities
About Llama 3.2 11B Vision
Multimodal 11B parameter model balancing capability and computational efficiency