Perplexity's "Search as Code" lets AI models write their own search pipelines instead of calling fixed APIs
Perplexity's new "Search as Code" architecture dumps rigid search APIs and lets AI models write their own search routines in Python. By letting the agent handle its own filtering and deduplication inside a sandbox, the system beats OpenAI and Anthropic on key benchmarks, while cutting token costs by up to 85 percent. The article Perplexity's "Search as Code" lets AI models write their own search pipelines instead of calling fixed APIs appeared first on The Decoder.
Perplexity's new "Search as Code" architecture dumps rigid search APIs and lets AI models write their own search routines in Python. By letting the agent handle its own filtering and deduplication inside a sandbox, the system beats OpenAI and Anthropic on key benchmarks, while cutting token costs by up to 85 percent.
The article Perplexity's "Search as Code" lets AI models write their own search pipelines instead of calling fixed APIs appeared first on The Decoder.
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Key Terms Explained
An AI safety company founded in 2021 by former OpenAI researchers, including Dario and Daniela Amodei.
The part of a neural network that generates output from an internal representation.
The AI company behind ChatGPT, GPT-4, DALL-E, and Whisper.
A measurement of how well a language model predicts text.