Model Overview Card: Claude 3.5 Sonnet

Basic Information

• Model Name: Claude 3.5 Sonnet
• Developer/Creator: Anthropic AI (founded by former members of OpenAI, Daniela Amodei and Dario Amodei)
• Release Date: June 20, 2024
• Version: 3.5 (latest)
• Model Type: Generative AI with multimodal capabilities (Language, Vision)

Description

Overview:

Claude 3.5 Sonnet sets a new standard in the AI industry, raising the bar for intelligence and performance. Operating at twice the speed of its predecessor, Claude 3 Opus, Claude 3.5 Sonnet outperforms it across a range of evaluations, making it a superior choice for complex AI tasks.

Key Features:

Graduate-Level Reasoning: Superior performance in GPQA (59.4%).

Undergraduate-Level Knowledge: High performance in MMLU (88.7%).

Speed. Operates at twice the speed of Claude 3 Opus.

Vision Model Superiority. Excels in tasks requiring visual reasoning, such as interpreting charts and graphs.

Beats GPT4o or performs equally in most benchmarks.

Intended Use:

Claude 3.5 Sonnet is designed for AI enthusiasts, business professionals, and software developers. It is particularly well-suited for:

• Complex AI Tasks: Graduate-level reasoning and undergraduate-level knowledge assessments.
• Coding and Software Development: High coding proficiency and troubleshooting capabilities.
• Visual Data Interpretation: Business analytics, software development, and any tasks requiring visual reasoning.

Technical Details

Language Support:

Claude 3.5 Sonnet supports multiple languages, making it versatile for global applications:

English (en), German (de), Spanish (es), French (fr), Hindi (hi), Italian (it), Japanese (ja), Korean (ko), Polish (pl), Portuguese (pt), Russian (ru), Turkish (tr), Chinese simplified (zh).

Architecture:

Utilizes a combination of unsupervised learning techniques and supervised fine-tuning, integrating Constitutional AI for ethical alignment.

Training Data:

Trained on a diverse mix of internet-sourced and proprietary datasets as of August 2023, prioritizing ethical data practices. No user-submitted data is used.

Data Source and Size:

Specific data sources and size are not provided. However, efforts are made with each iteration to ensure robustness and diversity.

Diversity and Bias:

Anthropic has made significant efforts to minimize biases and ensure that the model can handle a variety of tasks and languages effectively.

Performance Metrics, and Comparison to other Models

• Accuracy: Claude 3.5 Sonnet demonstrates superior accuracy in GPQA and MMLU, along with a remarkable 64% success rate in coding proficiency (HumanEval).
• Robustness: Claude 3.5 Sonnet can handle diverse tasks across multiple domains, maintaining high-quality output in reasoning, knowledge assessments, coding, and visual data interpretation.

API Reference