|
gptkbp:instance_of
|
gptkb:language
|
|
gptkbp:application
|
natural language processing
|
|
gptkbp:architecture
|
gptkb:Transformers
|
|
gptkbp:available_on
|
open-source model
|
|
gptkbp:competes_with
|
gptkb:GPT-3
gptkb:Claude
gptkb:Bard
|
|
gptkbp:designed_for
|
research and industry
|
|
gptkbp:developed_by
|
gptkb:Meta
|
|
gptkbp:evaluation_benchmarks
|
gptkb:Super_GLUE
Hella Swag
MMLU
|
|
gptkbp:has
|
gptkb:Documentation
API access
community contributions
community support
model variants
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
LLa MA 2
|
|
gptkbp:is_available_on
|
gptkb:Hugging_Face
gptkb:Git_Hub
|
|
gptkbp:is_evaluated_by
|
industry benchmarks
real-world tasks
academic benchmarks
|
|
gptkbp:is_known_for
|
flexibility
high performance
robustness
ease of use
|
|
gptkbp:is_optimized_for
|
efficiency
scalability
|
|
gptkbp:is_part_of
|
Meta AI research
|
|
gptkbp:is_supported_by
|
gptkb:developers
gptkb:scientific_community
data scientists
|
|
gptkbp:is_trained_in
|
diverse datasets
large text datasets
multilingual data
domain-specific data
|
|
gptkbp:is_used_in
|
gptkb:translator
question answering
chatbots
content generation
text summarization
|
|
gptkbp:mission
|
causal language modeling
|
|
gptkbp:model
|
13 billion parameters
7 billion parameters
70 billion parameters
|
|
gptkbp:performance
|
state-of-the-art
|
|
gptkbp:provides_information_on
|
diverse internet text
|
|
gptkbp:release_date
|
gptkb:2023
|
|
gptkbp:successor
|
gptkb:LLa_MA
|
|
gptkbp:supports
|
multiple languages
few-shot learning
zero-shot learning
|
|
gptkbp:tuning
|
possible
|
|
gptkbp:uses
|
tokenization
attention mechanisms
self-supervised learning
|
|
gptkbp:bfsParent
|
gptkb:LLa_MA
|
|
gptkbp:bfsLayer
|
6
|