Statements (248)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:language
|
| gptkbp:api |
gptkb:Open_AI_API
Available for Developers available for developers |
| gptkbp:application |
gptkb:translator
gptkb:Writer Question Answering Summarization Text Generation natural language processing content creation chatbots educational tools code generation |
| gptkbp:architecture |
gptkb:Transformers
deep learning |
| gptkbp:business_model |
disinformation
content generation misuse potential |
| gptkbp:community |
gptkb:developers
businesses AI researchers Open AI community |
| gptkbp:community_feedback |
Mixed Reactions
mixed reactions enthusiasm concerns about misuse debate on AI capabilities Concerns about Misuse Debate on AI Ethics Excitement for Capabilities interest in applications |
| gptkbp:competitors |
gptkb:BERT
gptkb:T5 gptkb:XLNet ERNIE |
| gptkbp:developed_by |
gptkb:Open_AI
|
| gptkbp:evaluates |
gptkb:one-shot_learning
benchmark tests perplexity BLEU score few-shot learning zero-shot learning ROUGE score automated metrics human evaluation human-like text generation performance on benchmarks Benchmarked on GLUE Benchmarked on LAMBADA Benchmarked on Super GLUE |
| gptkbp:future_prospects |
improving efficiency
expanding capabilities reducing biases enhancing interpretability Enhancing Interpretability Expanding Multimodal Capabilities Improving Robustness Reducing Bias |
| gptkbp:has_ability |
gptkb:Few-Shot_Learning
language translation question answering text generation summarization text summarization conversation simulation |
| gptkbp:has_limitations |
context understanding
factual inaccuracies bias in outputs bias in responses context length factual inaccuracy Bias in Outputs Inconsistency in Responses Sensitivity to Input Phrasing context length limitation |
| gptkbp:has_publications |
gptkb:Attention_is_All_You_Need
gptkb:Language_Models_are_Few-Shot_Learners Scaling Laws for Neural Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer |
| https://www.w3.org/2000/01/rdf-schema#label |
GPT-3
|
| gptkbp:impact |
gptkb:customer_service
gptkb:education gptkb:Software_Development gptkb:AI_technology automation of tasks content creation AI ethics discussions Advancements in AI AI safety advancements in AI AI ethics language understanding human-AI collaboration ethical discussions in AI NLP advancements Ethical Discussions in AI Increased Interest in Language Models increased interest in NLP |
| gptkbp:influenced |
AI research community
|
| gptkbp:influenced_by |
gptkb:GPT-1
gptkb:GPT-2 previous models |
| gptkbp:influences |
gptkb:customer_service
gptkb:education gptkb:Writer gptkb:Software_Development gptkb:AI_technology research papers game development content creation chatbots business applications |
| gptkbp:is_capable_of |
language translation
question answering text generation summarization conversation simulation |
| gptkbp:is_integrated_with |
yes
|
| gptkbp:language_support |
Multiple Languages
multiple languages |
| gptkbp:license |
commercial use
|
| gptkbp:marketed_as |
gptkb:program
gptkb:Content_Creation Chatbots Virtual Assistants yes subscription model available through subscription |
| gptkbp:notable_feature |
gptkb:one-shot_learning
Creative Writing Contextual Understanding few-shot learning zero-shot learning Text Completion Conversational Abilities |
| gptkbp:notable_features |
multilingual support
interactive applications contextual understanding text summarization text classification dialogue generation text completion programming assistance creative content generation customizable outputs |
| gptkbp:notable_for |
gptkb:Documentation
gptkb:storytelling gptkb:interactive_fiction gptkb:Writer language learning data analysis news articles game development research assistance content creation poetry writing personalized recommendations chatbots educational tools social media content code generation virtual assistants product descriptions advertising slogans email drafting personal assistants programming assistance marketing copy research paper writing |
| gptkbp:notable_project |
Data analysis tools
Marketing automation tools Virtual assistants Interactive storytelling Educational tools Language learning applications Personalized content delivery Game development tools Social media content creation Code generation tools Customer support automation Text-based games Chatbot applications Content generation tools Creative content generation Creative writing assistance Research paper generation Simulation of human-like conversation |
| gptkbp:notable_users |
gptkb:Snapchat
gptkb:Microsoft gptkb:Jasper_AI gptkb:Copy.ai gptkb:Kuki_Chatbot gptkb:Replika gptkb:AI_Dungeon gptkb:Chat_GPT gptkb:Git_Hub_Copilot gptkb:Duolingo Chatbots Data analysis tools SEO tools Various Startups Virtual assistants Various startups Researchers in AI Social media tools Marketing tools Educational tools Language learning apps Personalized content delivery Research assistants Game development tools Content creation platforms Customer support automation Creative writing tools |
| gptkbp:orbital_period |
175 billion
|
| gptkbp:predecessor |
gptkb:GPT-2
|
| gptkbp:provides_information_on |
gptkb:Wikipedia
gptkb:Common_Crawl Books internet text |
| gptkbp:release_date |
June 2020
|
| gptkbp:research |
academic studies
widely used in academia |
| gptkbp:successor |
gptkb:GPT-4
|
| gptkbp:token_limit |
4096 tokens
|
| gptkbp:training |
Unsupervised Learning
unsupervised learning |
| gptkbp:user_base |
gptkb:students
gptkb:developers gptkb:artists gptkb:Journalist gptkb:educators gptkb:researchers businesses content creators hobbyists marketers programmers |
| gptkbp:uses |
gptkb:Transformers
gptkb:Natural_Language_Processing deep learning unsupervised learning |
| gptkbp:bfsParent |
gptkb:Ilya_Sutskever
gptkb:Open_AI gptkb:Eleanor |
| gptkbp:bfsLayer |
4
|