Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:language
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:GPT-4
gptkb:Chat_GPT |
| gptkbp:allows |
bias in responses
context length factual inaccuracy |
| gptkbp:application |
content creation
chatbots educational tools code generation |
| gptkbp:architectural_style |
gptkb:Transformers_character
|
| gptkbp:business_model |
data privacy issues
impact on jobs misuse potential |
| gptkbp:community |
integrated into various applications
open-source alternatives developed widely discussed in AI forums |
| gptkbp:developed_by |
gptkb:Open_AI
|
| gptkbp:features |
few-shot learning
zero-shot learning fine-tuning capabilities |
| gptkbp:has_ability |
language translation
question answering text generation text summarization conversation simulation |
| https://www.w3.org/2000/01/rdf-schema#label |
GPT-3.5
|
| gptkbp:impact |
advancements in AI research
inspiration for new models contributed to understanding of language models |
| gptkbp:improves |
gptkb:GPT-3
|
| gptkbp:is_evaluated_by |
used in various competitions
benchmarked against human performance |
| gptkbp:notable_users |
gptkb:University
gptkb:physicist gptkb:software gptkb:Educational_Institution businesses |
| gptkbp:orbital_period |
175 billion
|
| gptkbp:predecessor |
gptkb:GPT-3
|
| gptkbp:provides_information_on |
text data
|
| gptkbp:related_to |
gptkb:software_framework
deep learning human-computer interaction AI ethics NLP technologies |
| gptkbp:release_date |
March 2022
|
| gptkbp:successor |
gptkb:GPT-4
|
| gptkbp:uses |
natural language processing
|