|
gptkbp:instance_of
|
gptkb:language
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Deep_Speech
|
|
gptkbp:developed_by
|
Research institutions
Universities
Tech companies
Heath A. Smith
|
|
gptkbp:has_documentation
|
API reference
Comprehensive user guide
|
|
gptkbp:has_feature
|
Efficient storage
Memory mapping
Support for large vocabularies
|
|
gptkbp:has_programs
|
Chatbots
Information Retrieval
Text Analysis
|
|
gptkbp:has_version
|
Latest version 0.0.0
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Ken LM
|
|
gptkbp:is_available_on
|
gptkb:archive
|
|
gptkbp:is_compatible_with
|
gptkb:Graphics_Processing_Unit
gptkb:Library
gptkb:Py_Torch
|
|
gptkbp:is_influential_in
|
gptkb:physicist
gptkb:Artificial_Intelligence
gptkb:Computational_Linguistics
|
|
gptkbp:is_known_for
|
gptkb:military_unit
Flexibility
Scalability
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_optimized_for
|
Large datasets
Real-time applications
|
|
gptkbp:is_part_of
|
gptkb:project
|
|
gptkbp:is_related_to
|
Machine Learning frameworks
Deep Learning models
NLP libraries
|
|
gptkbp:is_supported_by
|
Research papers
Community contributions
User forums
|
|
gptkbp:is_tested_for
|
Synthetic data
Benchmark datasets
Real-world data
|
|
gptkbp:is_used_for
|
Statistical Language Modeling
|
|
gptkbp:is_used_in
|
gptkb:software
gptkb:language
gptkb:studio
Text Generation
|
|
gptkbp:is_utilized_in
|
gptkb:physicist
gptkb:software
Data scientists
|
|
gptkbp:performance
|
High accuracy
Low memory usage
Fast training times
|
|
gptkbp:provides
|
Fast query times
|
|
gptkbp:supports
|
N-gram models
|
|
gptkbp:written_in
|
gptkb:C++
|