Software Engineering Daily cover image

Software Engineering Daily

Using LLMs for Training Data Preparation with Nihit Desai

Apr 30, 2024
50:17
Snipd AI
Nihit Desai, Co-founder and CTO at Refuel.ai, discusses using LLMs for data labeling, cleaning, and enrichment. The podcast explores the significance of quality data in ML, challenges in data preparation, AI security, real data importance, search engine development, data labeling, and model performance evaluation. It also delves into fine-tuning LLMs for data tasks and transitioning models into production.
Read more

Podcast summary created with Snipd AI

Quick takeaways

  • Quality data is crucial for machine learning models to represent and generalize effectively.
  • Data labeling plays a vital role in improving model accuracy and performance.

Deep dives

Importance of Quality Data in AI Systems

The podcast episode highlights Nihit Desai's insights on the significance of quality data in machine learning models. Quality data greatly impacts how well these models represent and generalize data. Data is fundamental for the knowledge and behavior models learn from, and the performance of AI systems relies on the quality and representativeness of this data for the final use case.

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