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Perplexity trusts GPT-6 Astra with end-to-end systems

OpenAI News ()1 min read2 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

Perplexity uses OpenAI's GPT-6 Astra to craft communications, edit production systems, and generate end-to-end automated tests for its search engine.

OpenAI published a customer case study describing how Perplexity, the AI-powered answer engine, uses the GPT-6 Astra model via API. Cofounder and Chief Strategy Officer Johnny Ho says the model can now craft communications, edit real-world systems, and monitor production software in ways earlier generations could not. Perplexity also asks Astra to build small test programs that stand in for external services, such as language model APIs and connectors, to verify applications end to end. Ho claims the team checks on the model's work much less frequently than with previous models.

Key facts
  • Perplexity runs GPT-6 Astra against production systems, communications, and search code improvements.
  • Better code generation directly improves Perplexity's web and internal information search summarization.
  • Astra generates mock service responses to test application workflows from start to finish.
  • Company says it can trust the model with full end-to-end systems with less supervision.
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From the original article

1 min read at openai.com

Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models.

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