# Embedding Adaptors

**URL:** <https://community.deeplearning.ai/t/embedding-adaptors/560132>\
**Category:** Advanced Retrieval for AI with Chroma\
**Created:** [January 29, 2024, 11:05pm UTC](https://community.deeplearning.ai/t/embedding-adaptors/560132 "2024-01-29T23:05:06Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![yhkdev](https://avatars.discourse-cdn.com/v4/letter/y/ce73a5/32.png) [@yhkdev](https://community.deeplearning.ai/u/yhkdev)\
**Post date:** [January 29, 2024, 11:05pm UTC](https://community.deeplearning.ai/t/embedding-adaptors/560132/1 "2024-01-29T23:05:06Z")

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I had no trouble understanding this course except the chapter on Embedding Adaptors. I finished this course thinking it’s RLHF, because the course trained the adaptor using mock user feedback. I later learned that it’s more like a LoRA. I’m still very confused by this topic.

I have a couple questions listed below. If anyone can even answer 1-2, I’d really appreciate it:

- What exactly are embedding adaptors and what does it do?
- When should (or shouldn’t) you use embedding adaptors?
- Pros and cons of using embedding adaptors?
- Difference between embedding adaptor and fine-tuning an embedding model?