Claude
Anthropic's line of language models, including Claude 1, 3.5 Sonnet, and Opus; built with alignment and safety as first-class concerns.
Think of it like
The safety-first alternative to GPT; makes different trade-offs.
Example
Claude 3.5 Sonnet (2024) matches GPT-4 on many benchmarks while showing fewer false refusals and better instruction-following.
How it actually works
Claude uses constitutional AI instead of just RLHF; models are trained to be helpful but also to point out problems in requests. Accessible via API and web chat. Opus is the largest/most capable; Sonnet is the balanced choice; Haiku is fast.
For product teams
Differentiation: alignment is a feature, not a liability. Attracts safety-conscious enterprises.
For engineers
Constitutional AI leads to fewer false refusals and more nuanced behavior. Long context (200k tokens) is a practical advantage.
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