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gptkbp:instance_of
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gptkb:academic_journals
|
|
gptkbp:addresses
|
Ethical Considerations
|
|
gptkbp:analyzes
|
Model Performance
Data Efficiency
|
|
gptkbp:author
|
gptkb:Tom_B._Brown
|
|
gptkbp:available_at
|
gptkb:ar_Xiv.org
|
|
gptkbp:collaborated_with
|
Interdisciplinary Research
Academic Institutions
|
|
gptkbp:contains
|
Tables
Figures
|
|
gptkbp:contributes_to
|
gptkb:Natural_Language_Processing
|
|
gptkbp:discusses
|
Scaling Laws
|
|
gptkbp:examines
|
Prompting Techniques
|
|
gptkbp:explores
|
gptkb:stage_adaptation
|
|
gptkbp:focuses_on
|
gptkb:Few-Shot_Learning
|
|
gptkbp:highlights
|
Limitations
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Language Models are Few-Shot Learners
|
|
gptkbp:includes
|
Experiments
|
|
gptkbp:influences
|
AI Development
|
|
gptkbp:investigates
|
gptkb:User_Experience
|
|
gptkbp:is_adopted_by
|
Tech Companies
|
|
gptkbp:is_analyzed_in
|
Bias Issues
|
|
gptkbp:is_applied_in
|
Text Generation
|
|
gptkbp:is_challenged_by
|
Adversarial Examples
Ethical Dilemmas
|
|
gptkbp:is_cited_in
|
gptkb:Attention_is_All_You_Need
Numerous Subsequent Studies
AI Ethics Discussions
|
|
gptkbp:is_compared_to
|
gptkb:GPT-3
Traditional Models
|
|
gptkbp:is_critiqued_by
|
Academic Reviews
|
|
gptkbp:is_discussed_in
|
AI Conferences
|
|
gptkbp:is_enhanced_by
|
Fine-Tuning Techniques
|
|
gptkbp:is_evaluated_by
|
Performance Metrics
|
|
gptkbp:is_examined_in
|
AI Research Papers
|
|
gptkbp:is_explored_in
|
Human-Computer Interaction
Empirical Studies
Machine Learning Courses
|
|
gptkbp:is_influenced_by
|
Deep Learning Advances
|
|
gptkbp:is_integrated_with
|
Software Applications
|
|
gptkbp:is_part_of
|
gptkb:AI_Research
gptkb:Neural_Information_Processing_Systems
|
|
gptkbp:is_recommended_by
|
Future Research Directions
|
|
gptkbp:is_referenced_in
|
Subsequent Papers
|
|
gptkbp:is_related_to
|
Generative Models
|
|
gptkbp:is_reviewed_by
|
Literature Surveys
|
|
gptkbp:is_studied_in
|
Cognitive Science
|
|
gptkbp:is_supported_by
|
Research Grants
Funding Agencies
|
|
gptkbp:is_tested_for
|
Various Datasets
|
|
gptkbp:is_used_in
|
Chatbots
|
|
gptkbp:is_utilized_for
|
gptkb:Content_Creation
|
|
gptkbp:presented_by
|
Conferences
|
|
gptkbp:presents
|
Case Studies
|
|
gptkbp:proposed_by
|
New Techniques
|
|
gptkbp:provides
|
Benchmarks
|
|
gptkbp:published_by
|
gptkb:Neur_IPS
Journals
|
|
gptkbp:published_in
|
gptkb:Neur_IPS_2020
|
|
gptkbp:reviews
|
gptkb:True
Existing Literature
|
|
gptkbp:uses
|
gptkb:Transformer_Architecture
|
|
gptkbp:utilizes
|
Large Datasets
|
|
gptkbp:was_a_demonstration_of
|
gptkb:Zero-Shot_Learning
|
|
gptkbp:written_in
|
English
|
|
gptkbp:bfsParent
|
gptkb:GPT-3
|
|
gptkbp:bfsLayer
|
5
|