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Another approach could be to run history through an embeddings API, save the embeddings to a Vector DB, then do a lookup for relevant _memories_ on each step. #89

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KadirErturk4r opened this issue Apr 3, 2023 · 3 comments
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Another approach could be to run history through an embeddings API, save the embeddings to a Vector DB, then do a lookup for relevant _memories_ on each step. #89

KadirErturk4r opened this issue Apr 3, 2023 · 3 comments

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@KadirErturk4r
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          Another approach could be to run history through an embeddings API, save the embeddings to a Vector DB, then do a lookup for relevant _memories_ on each step.

Originally posted by @tedspare in #5 (comment)

That reminds me cross attention but in different context.
@KadirErturk4r KadirErturk4r closed this as not planned Won't fix, can't repro, duplicate, stale Apr 3, 2023
@jantic
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jantic commented Apr 3, 2023

Any reason why this was closed? This is a great idea as far as I can tell....

@KadirErturk4r
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sorry it is my bad. I tried to add as a comment, but created a new issue.

@KadirErturk4r
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and also I wish you attach public models like GPT4All, so that we dont need GPT4

tgonzales pushed a commit to tgonzales/Auto-GPT that referenced this issue Apr 19, 2023
@awtkns
Merge pull request Significant-Gravitas#89 from Jshen123/chore/add_no…
bf8bf52 
…de_version_requirement

chore: specify node version in readme and package.json
Say383 pushed a commit to Say383/Auto-GPT that referenced this issue Sep 8, 2023
@SilenNaihin
fixing backslashes, adding basic metrics (Significant-Gravitas#89)
8d0c517
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@jantic @KadirErturk4r