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Rethinking Content Evaluation in the AI Era: Insights from Netra Pawar, Meta
Manage episode 516157734 series 3681648
Вміст надано Gowri Ramkumar. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Gowri Ramkumar або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
In this episode of the Knowledge Base Ninjas podcast, Netra Pawar, Lead Documentation Engineer, shares how AI is transforming content creation and evaluation in technical writing. She explains the concept of an evaluation-first content lifecycle, where content is tested and validated before going live, applying a CICD-like approach to documentation. Netra discusses key metrics for content quality, retrieval, and impact, and how AI can help scale evaluation. She also talks about the evolving role of technical writers, the importance of error analysis, and how partnering with engineering and ML teams can improve content performance. Finally, she emphasizes the need for writers to experiment with AI, shares an example of how a well-written document failed to be retrieved correctly by an LLM, and explains the takeaways.
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