This guide explains the "Latent Manipulator," an experimental AI architecture designed to "think" in a latent space before generating text, contrasting with standard Transformer models that predict text sequentially. It includes the theory, code for implementation, and links to datasets and pretrained model checkpoints.
Based on the video exploring this concept: [https://www.youtube.com/watch?v=fWiieyG2zes]
| Filter | Description | Example |
|---|---|---|
| allintext | Searches for occurrences of all the keywords given. | allintext:"keyword" |
| intext | Searches for the occurrences of keywords all at once or one at a time. | intext:"keyword" |
| inurl | Searches for a URL matching one of the keywords. | inurl:"keyword" |
| allinurl | Searches for a URL matching all the keywords in the query. | allinurl:"keyword" |
| intitle | Searches for occurrences of keywords in title all or one. | intitle:"keyword" |