Intro to Claude
Claude is a family of highly performant and intelligent AI models built by Anthropic. While Claude is powerful and extensible, it’s also the most trustworthy and reliable AI available. It follows critical protocols, makes fewer mistakes, and is resistant to jailbreaks—allowing enterprise customers to build the safest AI-powered applications at scale.
This guide introduces Claude’s enterprise capabilities, the end-to-end flow for developing with Claude, and how to start building.
What you can do with Claude
Claude is designed to empower enterprises at scale with strong performance across benchmark evaluations for reasoning, math, coding, and fluency in English and non-English languages.
Here’s a non-exhaustive list of Claude’s capabilities and common uses.
Capability | Enables you to… |
---|---|
Text and code generation |
|
Vision |
|
Tool use |
|
Model options
Enterprise use cases often mean complex needs and edge cases. Anthropic offers a range of models across the Claude 3 and Claude 3.5 families to allow you to choose the right balance of intelligence, speed, and cost.
Claude 3.5 Family
Claude 3.5 Opus | Claude 3.5 Sonnet | Claude 3.5 Haiku | |
---|---|---|---|
Description | Coming soon… | Most intelligent model, combining top-tier performance with improved speed. Currently the only model in the Claude 3.5 family. | Coming soon… |
Example uses | - |
| - |
Latest 1P API model name | - | claude-3-5-sonnet-20240620 | - |
Latest AWS Bedrock model name | - | anthropic.claude-3-5-sonnet-20240620-v1:0 | - |
Vertex AI model name | - | claude-3-5-sonnet@20240620 | - |
Claude 3 Family
Opus | Sonnet | Haiku | |
---|---|---|---|
Description | Strong performance on highly complex tasks, such as math and coding. | Balances intelligence and speed for high-throughput tasks. | Near-instant responsiveness that can mimic human interactions. |
Example uses |
|
|
|
Latest 1P API model name | claude-3-opus-20240229 | claude-3-sonnet-20240229 | claude-3-haiku-20240307 |
Latest AWS Bedrock model name | anthropic.claude-3-opus-20240229-v1:0 | anthropic.claude-3-sonnet-20240229-v1:0 | anthropic.claude-3-haiku-20240307-v1:0 |
Vertex AI model name | claude-3-opus@20240229 | claude-3-sonnet@20240229 | claude-3-haiku@20240307 |
Enterprise considerations
Along with an extensive set of features, tools, and capabilities, Claude is also built to be secure, trustworthy, and scalable for wide-reaching enterprise needs.
Feature | Description |
---|---|
Secure |
|
Trustworthy |
|
Capable |
|
Reliable |
|
Global |
|
Cost conscious |
|
Implementing Claude
Scope your use case
- Identify a problem to solve or tasks to automate with Claude.
- Define requirements: features, performance, and cost.
Design your integration
- Select Claude’s capabilities (e.g., vision, tool use) and models (Opus, Sonnet, Haiku) based on needs.
- Choose a deployment method, such as the Anthropic API, AWS Bedrock, or Vertex AI.
Prepare your data
- Identify and clean relevant data (databases, code repos, knowledge bases) for Claude’s context.
Develop your prompts
- Use Workbench to create evals, draft prompts, and iteratively refine based on test results.
- Deploy polished prompts and monitor real-world performance for further refinement.
Implement Claude
- Set up your environment, integrate Claude with your systems (APIs, databases, UIs), and define human-in-the-loop requirements.
Test your system
- Conduct red teaming for potential misuse and A/B test improvements.
Deploy to production
- Once your application runs smoothly end-to-end, deploy to production.
Monitor and improve
- Monitor performance and effectiveness to make ongoing improvements.
Start building with Claude
When you’re ready, start building with Claude:
- Follow the Quickstart to make your first API call
- Check out the API Reference
- Explore the Prompt Library for example prompts
- Experiment and start building with the Workbench
- Check out the Anthropic Cookbook for working code examples