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With this release, users can opt for the ideal combination of intelligence, speed, and cost to suit their use case. Opus, our most intelligent model, achieves near-human comprehension capabilities. It can deftly handle open-ended prompts and tackle complex tasks.

Anthropic

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179,316 görüntüleme • 2 yıl önce •via X (Twitter)

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Today, we're announcing Claude 3, our next generation of AI models. The three state-of-the-art models—Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku—set new industry benchmarks across reasoning, math, coding, multilingual understanding, and vision.

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Opus and Sonnet are accessible in our API which is now generally available, enabling developers to start using these models immediately. Sonnet is powering the free experience on with Opus available for Claude Pro subscribers.

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Haiku is the fastest and most cost-effective model on the market for its intelligence category. For the vast majority of workloads, Sonnet is 2x faster than Claude 2 and Claude 2.1, while Opus is about the same speed as past models.

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Claude 3 offers sophisticated vision capabilities on par with other leading models. The models can process a wide range of visual formats, including photos, charts, graphs and technical diagrams.

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Each model shows increased capabilities in analysis and forecasting, nuanced content creation, code generation, and conversing in non-English languages like Spanish, Japanese, and French.

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Previous Claude models often made unnecessary refusals. We’ve made meaningful progress in this area: Claude 3 models are significantly less likely to refuse to answer prompts that border on the system’s guardrails.

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While the Claude 3 model family has advanced on key measures of biological knowledge, cyber-related knowledge, and autonomy compared to previous models, it remains at AI Safety Level 2 (ASL-2) per our Responsible Scaling Policy.

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We’re excited to see what you create with Claude 3, and we hope you will give us feedback to make Claude an even more useful assistant and creative companion. Read more in our blog post:

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