Large, general-purpose language models can be pre-trained and then fine-tuned for specific purposes.
What is tensor search?
Tensor search uses deep-learning to transform documents, images and other data into collections of vectors called “tensors”. Representing data as tensors allows us to match queries against documents with human-like understanding of the query and document’s content. Tensor search can power a variety of use cases such as:
Create a lambda that triggers on s3 bucket creation
For the indexing I thought I can get the folder path of the file where we can have somo sort of hierarchy like:
businnes_unit/group-id[user-id]/*
translated that would be something like:
stat/organization[user or domain or group?])/file.pdf
So I need to create the name of the index taking into account those params.
Constraints:
+
’ chars, because if the file has blanks, S3 changes it to +
chars.
Josue1:9BeBrave