14min chapter

The Data Exchange with Ben Lorica cover image

The Evolution of Reinforcement Fine-Tuning in AI

The Data Exchange with Ben Lorica

CHAPTER

Integrating Fine-Tuning Techniques in AI

This chapter discusses the integration of supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT) to enhance AI model performance. It highlights the challenges enterprises face in implementing sophisticated AI solutions and emphasizes the importance of user experience and domain knowledge in the process. The chapter also explores advancements in model customization through RFT, showing its potential to address limitations of SFT, especially with limited data.

00:00

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