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Using LLMs for Training Data Preparation with Nihit Desai

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Contenido proporcionado por Podcast Archives - Software Engineering Daily. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Podcast Archives - Software Engineering Daily o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Machine learning models learn patterns and relationships from data to make predictions or decisions. The quality of the data influences how well these models can represent and generalize from the data.

Nihit Desai is the Co-founder and CTO at Refuel.ai. The company is using LLMs for tasks such as data labeling, cleaning, and enrichment. He joins the show to talk about the platform, and how to manage data in the current AI era.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Using LLMs for Training Data Preparation with Nihit Desai appeared first on Software Engineering Daily.

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864 episodios

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iconCompartir
 
Manage episode 415426827 series 1418208
Contenido proporcionado por Podcast Archives - Software Engineering Daily. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Podcast Archives - Software Engineering Daily o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Machine learning models learn patterns and relationships from data to make predictions or decisions. The quality of the data influences how well these models can represent and generalize from the data.

Nihit Desai is the Co-founder and CTO at Refuel.ai. The company is using LLMs for tasks such as data labeling, cleaning, and enrichment. He joins the show to talk about the platform, and how to manage data in the current AI era.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Using LLMs for Training Data Preparation with Nihit Desai appeared first on Software Engineering Daily.

  continue reading

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