METHODS AND SYSTEMS FOR GENERATING PROJECTIONS OF REPRESENTATIONS OF DATA IN A PLURALITY OF SPACES
Aspects of the present disclosure generally relate to apparatus and method of generating projections of representations of data in a plurality of spaces.
1 . A method of generating projections of representations of data in a plurality of spaces, the method comprising:
receiving, by a computing device, user data of a user;
generating, by the computing device, a representation in a first space as a function of the user data, wherein generating the representation in the first space comprises:
receiving one or more dynamic weightings associated with the user data, wherein the one or more dynamic weightings indicate a level of importance of one or more portions of user data; and
generating the representation in the first space using a large language model and the one or more dynamic weightings, wherein the one or more dynamic weightings affect an output of the large language model;
projecting, by the computing device, the representation to a second space, wherein the second space comprises a second quantity of dimensions, wherein projecting the representation to the second space comprises:
presenting a graphic; and
presenting, by the computing device at a remote device, a notification to the user related to the projection.
2 . The method of claim 1 , wherein receiving the one or more dynamic weightings associated with the user data comprises receiving initialized dynamic weightings generated from a plurality of user data.
3 . The method of claim 2 , wherein receiving the one or more dynamic weightings associated with the user data further comprises receiving a modification to the initialized dynamic weightings.
4 . The method of claim 3 , wherein the modification to the initialized dynamic weightings comprises an interaction with one or more interactive elements through a graphical user interface.
5 . The method of claim 1 , wherein the user data comprises previous representations generated on previous iterations of a processing of the computing device.
6 . The method of claim 5 , wherein receiving the one or more dynamic weightings comprises modifying the one or more dynamic weightings as a function of the previous representations.
7 . The method of claim 1 , wherein the one or more dynamic weightings are encoded as numerical weights and used to condition an output of the large language model.
8 . The method of claim 1 , wherein the first space comprises a first quantity of dimensions.
9 . The method of claim 8 , wherein generating the representation in the first space comprises selecting a number of dimensions of the first quantity of dimensions.
10 . The method of claim 1 , wherein receiving the one or more dynamic weightings associated with the user data comprises:
presenting a modular tuning framework to the user through a graphical user interface; and
receiving the one or more dynamic weightings through an interaction with the modular tuning framework.
11 . An apparatus for generating projections of representations of data in a plurality of spaces, the apparatus comprising:
a processor; and
a memory communicatively connected to the processor, the memory containing instructions configuring the processor to:
receive user data of a user;
generate a representation in a first space as a function of the user data, wherein generating the representation in the first space comprises:
receiving one or more dynamic weightings associated with the user data, wherein the one or more dynamic weightings indicate a level of importance of one or more portions of user data; and
generating the representation in the first space using a large language model and the one or more dynamic weightings, wherein the one or more dynamic weightings affect an output of the large language model;
project the representation to a second space, wherein the second space comprises a second quantity of dimensions, wherein projecting the representation to the second space comprises:
presenting a graphic; and
present a notification to the user related to the projection.
12 . The apparatus of claim 11 , wherein receiving the one or more dynamic weightings associated with the user data comprises receiving initialized dynamic weightings generated from a plurality of user data.
13 . The apparatus of claim 12 , wherein receiving the one or more dynamic weightings associated with the user data further comprises receiving a modification to the initialized dynamic weightings.
14 . The apparatus of claim 13 , wherein the modification to the initialized dynamic weightings comprises an interaction with one or more interactive elements through a graphical user interface.
15 . The apparatus of claim 11 , wherein the user data comprises previous representations generated on previous iterations of a processing of the processor.
16 . The apparatus of claim 15 , wherein receiving the one or more dynamic weightings comprises modifying the one or more dynamic weightings as a function of the previous representations.
17 . The apparatus of claim 11 , wherein the one or more dynamic weightings are encoded as numerical weights and used to condition an output of the large language model.
18 . The apparatus of claim 11 , wherein the first space comprises a first quantity of dimensions.
19 . The apparatus of claim 18 , wherein generating the representation in the first space comprises selecting a number of dimensions of the first quantity of dimensions.
20 . The apparatus of claim 11 , wherein receiving the one or more dynamic weightings associated with the user data comprises:
presenting a modular tuning framework to the user through a graphical user interface; and
receiving the one or more dynamic weightings through an interaction with the modular tuning framework.