MLOps.community  cover image

MLOps.community

Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215

Mar 5, 2024
51:00
Snipd AI
Explore the impact of GenAI on industries and challenges in scaling, data quality hindrances, and non-value-added tasks. Delve into the evolving role of data engineers, LLM integration, and GenAI tools for automation and data handling. Discuss risks with LLM models in AI applications, emphasizing data privacy, compliance, and decision-making strategies.
Read more

Podcast summary created with Snipd AI

Quick takeaways

  • Effective data management is crucial for scaling GenAI impact.
  • Documentation maintenance ensures accurate data quality and integrity.

Deep dives

Data Engineering Challenges with Text-to-Sequence Models

Despite advancements in text-to-sequence models, data engineering remains challenging due to practical examples where JNI is utilized but faces obstacles transitioning from MVP to production. Challenges like ETL of unstructured data persist, especially in assessing data quality from sources like PDFs versus structured data.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode