Using Anthropic's foundation model through AWS Bedrock, we can help you create a GenAI solution to fit your business needs. Anthropic's models work for many use cases, like RAG-based chatbots, summarization, generating relationships and classifications of data, keyword extraction, code generation, and copywriting. To support these use cases, we will work with you to design the underlying infrastructure with AWS best practices and utilize common tooling like AWS Lambda Functions, LangChain, and Amazon OpenSearch
Overview
Over a 4 to 6 week period, we’ll construct an engagement to get you using Anthropic with a design that scales to the magnitude of your needs. We use this time to define your business objectives and priorities, design a candidate solution, and determine the criteria makes your implementation successful. By the end, you’ll have a pilot solution deployed in your environment that’s been designed to accomplish your objectives and demonstrate the potential of a fully scaled architecture.
What You Get From Us
- A pilot deployed in your AWS development environment
- The solution architecture documentation
- A plan to build for scale as a production-ready solution
- A refined TCO estimate for AWS and Anthropic services
- A summary of success criteria met and recommendations for “go/no-go”
Highlights
- We’ll work backward with you to understand all the requirements you need fulfilled by interacting with Anthropic models
- We review your business needs and usage patterns for inference to create architecture designs, fine-tune your LLM, and help with retrieval-augmented generation (RAG)
- We’ll develop a best-fit architectural approach and design everything from model stores, experimentation, endpoint deployment, pipelines, and the data infrastructure
Details
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Phone: 855-647-7466