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Claude 3 Haiku

Text classification
Conversational
Summarization
Zero-shot classification
Text generation
Question answering
Translation

Claude 3 Haiku stands out as the fastest and most cost-effective model in its class. Boasting cutting-edge vision capabilities and exceptional performance on industry benchmarks, Haiku offers a versatile solution for a broad spectrum of enterprise applications.

Intended Use

Performance

  • Near-instant results: The Claude 3 models excel in powering real-time tasks such as live customer chats, auto-completions, and data extraction. Haiku, the fastest and most cost-effective model, and Sonnet, which is twice as fast as Claude 2 and 2.1, both offer superior intelligence and performance for a variety of demanding applications.

  • Vision and Image Processing: This model can process and analyze visual input, extracting insights from documents, processing web UI, generating image catalog metadata, and more.

  • Long context and near-perfect recall: Haiku offers a 200K context window and can process inputs exceeding 1 million tokens, with Claude 3 Opus achieving near-perfect recall surpassing 99% accuracy in the "Needle In A Haystack".

Limitations

  • Medical images: Claude 3 Haiku is not suitable for interpreting specialized medical images like CT scans and shouldn't be used for medical advice.

  • Non-English: Claude 3 Haiku may not perform optimally when handling images with text of non-Latin alphabets, such as Japanese or Korean.

  • Big text: Users should enlarge text within the image to improve readability for Claude 3.5, but avoid cropping important details.

  • Rotation: Claude 3 Haiku may misinterpret rotated / upside-down text or images.

  • Visual elements: Claude 3 Haiku may struggle to understand graphs or text where colors or styles like solid, dashed, or dotted lines vary.

  • Spatial reasoning: Claude 3 Haiku struggles with tasks requiring precise spatial localization, such as identifying chess positions.

  • Hallucinations: The model can provide factually inaccurate information.

Citation

https://docs.anthropic.com/claude/docs/models-overview