Dottxt, an emerging startup, aims to integrate generative AI into traditional software engineering workflows by employing structured generation for better outputs from LLMs.
CEO Rémi Louf emphasized, 'It makes it possible to go back to a traditional engineering workflow; you refine the grammar until you get it right.'
The Dottxt team, influenced by their background in Bayesian statistics, recognized the potential of structured generation to guide AI models more effectively.
Dottxt promises a more advanced approach than its predecessor, Outlines, as it focuses on creating a model-agnostic structured generation solution with improved performance.
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