AWS bedrock documentation change
Summary
Added descriptive alt text to all image icons throughout the document
Security assessment
The changes exclusively add accessibility-focused alt text descriptions to existing icons (e.g., 'Red circle with white X icon', 'Green circle with white checkmark icon'). No modifications to security features, vulnerabilities, or security documentation were made. The content about security-related features like Guardrails and Abuse Detection remains unchanged except for added image descriptions.
Diff
diff --git a/bedrock/latest/userguide/model-card-meta-llama-3-2-1b-instruct.md b/bedrock/latest/userguide/model-card-meta-llama-3-2-1b-instruct.md index f6e881436..d34afa54a 100644 --- a//bedrock/latest/userguide/model-card-meta-llama-3-2-1b-instruct.md +++ b//bedrock/latest/userguide/model-card-meta-llama-3-2-1b-instruct.md @@ -7 +7 @@ -Meta — Llama 3.2 1B InstructModel DetailsCapabilities and FeaturesPricingProgrammatic AccessService TiersRegional AvailabilityQuotas and LimitsSample Code +Blue infinity symbol or figure-eight icon on white background. Meta — Llama 3.2 1B InstructModel DetailsCapabilities and FeaturesPricingProgrammatic AccessService TiersRegional AvailabilityQuotas and LimitsSample Code @@ -11 +11 @@ Meta — Llama 3.2 1B InstructModel DetailsCapabilities and FeaturesPricingProgr -##  Meta — Llama 3.2 1B Instruct +##  Meta — Llama 3.2 1B Instruct @@ -36,5 +36,5 @@ Llama 3.2 1B Instruct is Meta's ultra-lightweight 1-billion parameter model opti - Audio|  Embedding|  `Responses`|  `bedrock-runtime` - Image|  Image|  `Chat Completions`|  `bedrock-mantle` - Speech|  Speech|  `Invoke`| - Text|  Text|  `Converse`| - Video|  Video| | + Audio|  Embedding|  `Responses`|  `bedrock-runtime` + Image|  Image|  `Chat Completions`|  `bedrock-mantle` + Speech|  Speech|  `Invoke`| + Text|  Text|  `Converse`| + Video|  Video| | @@ -51,5 +51,5 @@ Llama 3.2 1B Instruct is Meta's ultra-lightweight 1-billion parameter model opti - *  [Response streaming](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_InvokeModelWithResponseStream.html) - *  [Guardrails](https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails.html) - *  [Prompt management](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html) - *  [Flows](https://docs.aws.amazon.com/bedrock/latest/userguide/flows.html) - *  [Agents](https://docs.aws.amazon.com/bedrock/latest/userguide/agents.html) + *  [Response streaming](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_InvokeModelWithResponseStream.html) + *  [Guardrails](https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails.html) + *  [Prompt management](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html) + *  [Flows](https://docs.aws.amazon.com/bedrock/latest/userguide/flows.html) + *  [Agents](https://docs.aws.amazon.com/bedrock/latest/userguide/agents.html) @@ -59,8 +59,8 @@ Llama 3.2 1B Instruct is Meta's ultra-lightweight 1-billion parameter model opti - *  [Intelligent prompt routing](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-routing.html) - *  [Abuse detection](https://docs.aws.amazon.com/bedrock/latest/userguide/abuse-detection.html) - *  [Prompt optimization](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management-optimize.html) - *  [Count tokens](https://docs.aws.amazon.com/bedrock/latest/userguide/count-tokens.html) - *  [Knowledge base](https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base.html) - *  [Model evaluation](https://docs.aws.amazon.com/bedrock/latest/userguide/evaluation.html) - *  [Structured outputs](https://docs.aws.amazon.com/bedrock/latest/userguide/structured-outputs.html) - *  [Client-side tool calling](https://docs.aws.amazon.com/bedrock/latest/userguide/tool-use.html) + *  [Intelligent prompt routing](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-routing.html) + *  [Abuse detection](https://docs.aws.amazon.com/bedrock/latest/userguide/abuse-detection.html) + *  [Prompt optimization](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management-optimize.html) + *  [Count tokens](https://docs.aws.amazon.com/bedrock/latest/userguide/count-tokens.html) + *  [Knowledge base](https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base.html) + *  [Model evaluation](https://docs.aws.amazon.com/bedrock/latest/userguide/evaluation.html) + *  [Structured outputs](https://docs.aws.amazon.com/bedrock/latest/userguide/structured-outputs.html) + *  [Client-side tool calling](https://docs.aws.amazon.com/bedrock/latest/userguide/tool-use.html) @@ -90 +90 @@ Amazon Bedrock offers multiple service tiers to match your workload requirements - |  |  |  + |  |  |  @@ -100,6 +100,6 @@ Bedrock offers three inference options: **In-Region** keeps requests within a si -`us-east-1` (N. Virginia)| | |  -`us-east-2` (Ohio)| | |  -`us-west-2` (Oregon)| | |  -`eu-central-1` (Frankfurt)| | |  -`eu-west-1` (Ireland)| | |  -`eu-west-3` (Paris)| | |  +`us-east-1` (N. Virginia)| | |  +`us-east-2` (Ohio)| | |  +`us-west-2` (Oregon)| | |  +`eu-central-1` (Frankfurt)| | |  +`eu-west-1` (Ireland)| | |  +`eu-west-3` (Paris)| | | 