AWS bedrock documentation change
Summary
Entire content of the model card for Amazon Titan Text Large has been removed, including model details, pricing, programmatic access instructions, service tiers, regional availability, quotas, and sample code.
Security assessment
The change removes all documentation content without adding or modifying any security-related information. There is no evidence of security vulnerability fixes, incident reports, or security feature additions in the diff. The removal appears to be general documentation cleanup.
Diff
diff --git a/bedrock/latest/userguide/model-card-amazon-titan-text-large.md b/bedrock/latest/userguide/model-card-amazon-titan-text-large.md index fdd5a5f6d..8b1378917 100644 --- a//bedrock/latest/userguide/model-card-amazon-titan-text-large.md +++ b//bedrock/latest/userguide/model-card-amazon-titan-text-large.md @@ -1 +0,0 @@ -[View a markdown version of this page](model-card-amazon-titan-text-large.md) @@ -3,131 +1,0 @@ -[](/pdfs/bedrock/latest/userguide/bedrock-ug.pdf#model-card-amazon-titan-text-large "Open PDF") - -[Documentation](/index.html)[Amazon Bedrock](/bedrock/index.html)[User Guide](what-is-bedrock.html) - -Amazon — Titan Text LargeModel DetailsPricingProgrammatic AccessService TiersRegional AvailabilityQuotas and LimitsSample Code - -# Titan Text Large - -##  Amazon — Titan Text Large - -## Model Details - -Titan Text Large is Amazon's general-purpose text generation model for tasks like summarization, text generation, and conversational chat. For more information about model development and performance, see the [model/service card](https://docs.aws.amazon.com/ai/responsible-ai/titan-text-embeddings/overview.html). - - * **Model launch date:** Sep 28, 2023 - - * **Model EOL date:** N/A - - * **End User License Agreements and Terms of Use:** [View](https://aws.amazon.com/legal/bedrock/third-party-models/) - - * **Model lifecycle:** Active - - * **Context window:** 8K tokens - - * **Max output tokens:** 8K - - - - -**Input Modalities** | **Output Modalities** | **[APIs supported](https://docs.aws.amazon.com/bedrock/latest/userguide/apis.html)** | **[Endpoints supported](https://docs.aws.amazon.com/bedrock/latest/userguide/endpoints.html)** ----|---|---|--- - Audio|  Embedding|  `Responses`|  `bedrock-runtime` - Image|  Image|  `Chat Completions`|  `bedrock-mantle` - Speech|  Speech|  `Invoke`| - Text|  Text|  `Converse`| - Video|  Video| | - -## Pricing - -For pricing, please refer to the [Amazon Bedrock Pricing](https://aws.amazon.com/bedrock/pricing/) page. - -## Programmatic Access - -Use the following model IDs and endpoint URLs to access this model programmatically. For more information about the available APIs and endpoints, see [APIs supported](https://docs.aws.amazon.com/bedrock/latest/userguide/apis.html) and [Endpoints supported](https://docs.aws.amazon.com/bedrock/latest/userguide/endpoints.html). - -**Endpoint** | **Model ID** | **In-Region endpoint URL** | **Geo inference ID** | **Global inference ID** ----|---|---|---|--- -`bedrock-runtime` | `amazon.titan-tg1-large` | `https://bedrock-runtime.{region}.amazonaws.com` | Not supported | Not supported - -_For example, if region is us-east-1 (N. Virginia), then the bedrock-runtime endpoint URL will be "https://bedrock-runtime.us-east-1.amazonaws.com" and for bedrock-mantle will be "https://bedrock-mantle.us-east-1.api.aws/v1"._ - -## Service Tiers - -Amazon Bedrock offers multiple service tiers to match your workload requirements. **Standard** provides pay-per-token access with no commitment. **Priority** offers higher throughput with a time-based commitment. **Flex** provides lower-cost access for flexible, non-time-sensitive workloads. **Reserved** provides dedicated throughput with a term commitment for predictable workloads. For more information, see [service tiers](https://docs.aws.amazon.com/bedrock/latest/userguide/service-tiers-inference.html). - -**Standard** | **Priority** | **Flex** | **Reserved** ----|---|---|--- - |  |  |  - -## Regional Availability - -**_Regional availability at a glance_** - -Bedrock offers three inference options: **In-Region** keeps requests within a single Region for strict compliance, **Geo Cross-Region** routes across Regions within a geography (US, EU, etc.) for higher throughput while respecting data residency, and **Global Cross-Region** routes anywhere worldwide for maximum throughput when there are no residency constraints. Refer to the [Regional availability](./models-region-compatibility.html) page for more details. - -**Region** | **In-Region** | **Geo** | **Global** ----|---|---|--- -`us-east-1` (N. Virginia)| | |  -`us-west-2` (Oregon)| | |  - -## Quotas and Limits - -Your AWS account has default quotas to maintain the performance of the service and to ensure appropriate usage of Amazon Bedrock. The default quotas assigned to an account might be updated depending on regional factors, payment history, fraudulent usage, and/or approval of a quota [increase request](https://docs.aws.amazon.com/bedrock/latest/userguide/quotas-increase.html). For more details, please refer to [Quotas for Amazon Bedrock](./quotas.html) documentation and see the [limits](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#limits_bedrock) for the model. - -## Sample Code - -**Step 1 - AWS Account:** If you have an AWS account already, skip this step. If you are new to AWS, sign up for an [AWS account](https://portal.aws.amazon.com/billing/signup). - -**Step 2 - API key:** Go to the [Amazon Bedrock console](https://console.aws.amazon.com/bedrock/home#/api-keys/long-term/create) and generate a long-term API key. - -**Step 3 - Get the SDK:** To use this getting started guide, you must have Python already installed. Then install the relevant software depending on the APIs you are using. - - - pip install boto3 - -**Step 4 - Set environment variables:** Configure your environment to use the API key for authentication. - - - AWS_BEARER_TOKEN_BEDROCK="<provide your Bedrock API key>" - -**Step 5 - Run your first inference request:** Save the file as `bedrock-first-request.py` - -Converse API - - - - import boto3 - - client = boto3.client('bedrock-runtime', region_name='us-east-1') - response = client.converse( - modelId='amazon.titan-tg1-large', - messages=[ - { - 'role': 'user', - 'content': [{'text': 'Can you explain the features of Amazon Bedrock?'}] - } - ] - ) - print(response) - - **Javascript is disabled or is unavailable in your browser.** - -To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions. - -[Document Conventions](/general/latest/gr/docconventions.html) - -Titan Embeddings G1 - Text - -Titan Embeddings G1 - Text v2 - -Did this page help you? - Yes - -Thanks for letting us know we're doing a good job! - -If you've got a moment, please tell us what we did right so we can do more of it. - -Did this page help you? - No - -Thanks for letting us know this page needs work. We're sorry we let you down. - -If you've got a moment, please tell us how we can make the documentation better.