Amazon Web Services (AWS) Bolsters Bedrock with New AI Models and Features
Amazon Web Services (AWS) has announced improvements to bolster Bedrock, its fully managed generative AI service.
Amazon Bedrock Expands its Model Diversity
AWS is set to become the first cloud provider to feature models from AI developers Luma AI and poolside, while also incorporating Stability AI’s latest release.
Through its new Amazon Bedrock Marketplace, customers will have access to over 100 emerging and specialized models from across industries, ensuring they can select the most appropriate tools for their unique needs.
Luma AI’s Ray 2 Model
Luma AI, known for advancing generative AI in video content creation, brings its next-generation Ray 2 model to Amazon Bedrock. This model generates high-quality, lifelike video outputs from text or image inputs and allows organizations to create detailed outputs in fields such as fashion, architecture, and graphic design.
poolside’s Models
poolside’s models – malibu and point – specialize in code generation, testing, documentation, and real-time code completion. Importantly, developers can securely fine-tune these models using their private datasets. Accompanied by Assistant – an integration for development environments – poolside’s tools allow engineering teams to accelerate productivity, ship projects faster, and increase accuracy.
Stability AI’s Stable Diffusion 3.5 Large
Amazon Bedrock customers will soon gain access to Stability AI’s text-to-image model Stable Diffusion 3.5 Large. This addition supports businesses in creating high-quality visual media for use cases in areas like gaming, advertising, and retail.
Scaling Inference with New Amazon Bedrock Features
Large-scale generative AI applications require balancing the cost, latency, and accuracy of inference processes. AWS is addressing this challenge with two new Amazon Bedrock features:
Caching Capability
The new caching capability reduces redundant processing of prompts by securely storing frequently used queries, saving on both time and costs. This feature can lead to up to a 90% reduction in costs and an 85% decrease in latency.
Intelligent Prompt Routing
This feature dynamically directs prompts to the most suitable foundation model within a family, optimizing results for both cost and quality. Customers such as Argo Labs, which builds conversational voice AI solutions for restaurants, have already benefited.
Data Utilization: Knowledge Bases and Automation
A key attraction of generative AI lies in its ability to extract value from data. AWS is enhancing its Amazon Bedrock Knowledge Bases to ensure organizations can deploy their unique datasets for richer AI-powered user experiences.
Structured Data Retrieval
AWS has introduced capabilities for structured data retrieval within Knowledge Bases. This enhancement allows customers to query data stored across Amazon services like SageMaker Lakehouse and Redshift through natural-language prompts, with results translated back into SQL queries.
Automated Graph Modelling
By incorporating automated graph modelling (powered by Amazon Neptune), customers can now generate and connect relational data for stronger AI applications.
Amazon Bedrock Data Automation
AWS has unveiled Amazon Bedrock Data Automation, a tool that transforms unstructured content (e.g., documents, video, and audio) into structured formats for analytics or retrieval-augmented generation (RAG).
Conclusion
The expansion of Amazon Bedrock’s ecosystem reflects its growing popularity, with the service recording a 4.7x increase in its customer base over the last year. Industry leaders like Adobe, BMW, Zendesk, and Tenovos have all embraced AWS’s latest innovations to improve their generative AI capabilities.
FAQs
Q: What is Amazon Bedrock?
A: Amazon Bedrock is a fully managed generative AI service that allows customers to build sophisticated AI applications.
Q: What new models are being added to Amazon Bedrock?
A: Luma AI’s Ray 2 model, poolside’s malibu and point models, and Stability AI’s Stable Diffusion 3.5 Large model are being added to Amazon Bedrock.
Q: What are the new features in Amazon Bedrock?
A: The new features include caching capability, intelligent prompt routing, structured data retrieval, automated graph modelling, and Amazon Bedrock Data Automation.
Q: How will these features improve AI applications?
A: These features will improve AI applications by reducing costs and latency, optimizing results, and enabling the extraction of value from data.
