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gptkbp:instance_of
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gptkb:language
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gptkbp:available_at
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gptkb:Git_Hub
|
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gptkbp:can_be_used_in
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gptkb:Natural_Language_Processing
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gptkbp:developed_by
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Research institutions
Universities
Tech companies
Heath A. Smith
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gptkbp:has_applications_in
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Chatbots
Information Retrieval
Text Analysis
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gptkbp:has_documentation
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API reference
Comprehensive user guide
|
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gptkbp:has_features
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Efficient storage
Memory mapping
Support for large vocabularies
|
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gptkbp:has_performance
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High accuracy
Low memory usage
Fast training times
|
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gptkbp:has_version
|
Latest version 0.0.0
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|
https://www.w3.org/2000/01/rdf-schema#label
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Ken LM
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gptkbp:is_compatible_with
|
gptkb:Tensor_Flow
gptkb:Python
gptkb:Py_Torch
|
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gptkbp:is_influential_in
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gptkb:Artificial_Intelligence
gptkb:Computational_Linguistics
gptkb:Data_Science
|
|
gptkbp:is_known_for
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gptkb:Speed
Flexibility
Scalability
|
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gptkbp:is_open_source
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gptkb:true
|
|
gptkbp:is_optimized_for
|
Large datasets
Real-time applications
|
|
gptkbp:is_part_of
|
gptkb:open-source_software
|
|
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
|
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gptkbp:is_used_in
|
gptkb:translator
gptkb:speeches
Text Generation
|
|
gptkbp:is_utilized_by
|
gptkb:developers
gptkb:researchers
Data scientists
|
|
gptkbp:provides
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Fast query times
|
|
gptkbp:supports
|
N-gram models
|
|
gptkbp:used_for
|
Statistical Language Modeling
|
|
gptkbp:written_in
|
gptkb:C++
|
|
gptkbp:bfsParent
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gptkb:Deep_Speech
|
|
gptkbp:bfsLayer
|
5
|