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Claude 3

Claude 3 overview

#TL;DR(中文)

  • code
    Claude 3
    是 Anthropic 的一组
    code
    LLM
    (Haiku/Sonnet/Opus),常见定位是:Haiku 追求速度与成本,Opus 追求更强的综合能力。
  • 适合做:长文本理解(context window)、结构化输出(例如 JSON)、写作与分析,以及部分
    code
    coding
    任务。
  • 选型建议:用你自己的
    code
    evaluation
    (10-50 条样本)对比不同 models 的正确性、格式稳定性、以及 hallucination 风险,再决定用哪个版本。

#中文导读(术语保留英文)

阅读这页时建议重点关注:

  1. context window(以及长上下文场景的可靠性)
  2. structured output 能力(是否容易 format drift)
  3. hallucination 与 factual question answering 的表现

如果要落地到产品里,建议把输出格式写死(schema)并加

code
self-check
(例如要求给 evidence/引用片段)。

#Original (English)

Anthropic announces Claude 3, their new family of models that include Claude 3 Haiku, Claude 3 Sonnet, and Claude 3 Opus.

Claude 3 Opus (the strongest model) is reported to outperform GPT-4 and all other models on common benchmarks like MMLU and HumanEval.

#Results and Capabilities

Claude 3 capabilities include advanced reasoning, basic mathematics, analysis, data extraction, forecasting, content creation, code generation, and converting in non-English languages like Spanish, Japanese, and French. The table below demonstrates how Claude 3 compares with other models on several benchmarks with Claude 3 Opus outperforming all the mentioned models:

"Claude 3 Benchmarks"

Claude 3 Haiku is the fastest and most cost-effective model of the series. Claude 3 Sonnet is 2x faster than previous iterations of Claude and Opus is as fast as Claude 2.1 with more superior capabilities.

The Claude 3 models offer support for 200K context windows but can be extended to 1M tokens to select customers. Claude 3 Opus achieved near-perfect recall on the Needle In A Haystack (NIAH) evaluation which measures the model's ability to recall information in a large corpus and effectively process long context prompts.

The models also have strong vision capabilities for processing formats like photos, charts, and graphs.

"Claude 3 Vision Capabilities"

Anthropic also claim that these models have a more nuanced understanding of requests and make fewer refusals. Opus also shows significant improvements in factual question answering in open-ended questions while reducing incorrect answers or hallucinations. Claude 3 models are also better than the Claude 2 models at producing structured outputs like JSON objects.

#References

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