1min snip

DataFramed cover image

[DataFramed AI Series #1] ChatGPT and the OpenAI Developer Ecosystem

DataFramed

NOTE

Fine Tuning vs. Embeddings for Model Retrieval

Fine-tuning is mostly useful for classification tasks with current infrastructure, as it has difficulty retrieving information./nFine-tuning is often used for embedding, which allows direct retrieval of some source of truth./nEmbedding is a better solution for direct retrieval than fine-tuning with current infrastructure./nFine-tuning can still be a viable solution for some problems, but its usefulness is limited with the current infrastructure.

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