"language_model": {
"name": "ChatGPT",
},
"training_parameters": {
"optimizer": "Adam",
"learning_rate": 1e-4,
"batch_size": 32,
"num_epochs": 10
}
},
"generation": {
"styles": ["news", "fiction", "poetry", "technical"],
"genres": ["science fiction", "romance", "horror", "mystery", "historical fiction"],
"length": {
"min": 10,
"max": 2048
}
},
"translation": {
"languages": ["en", "es", "fr", "de"],
"max_length": 2048
},
"understanding": {
"question_answering": true,
"summarization": true,
"sentiment_analysis": true,
"chunking": true,
"parsing": true,
"named_entity_recognition": true
},
"classification": {
"categories": ["spam", "not spam", "positive sentiment", "negative sentiment"]
},
"chunking": {
"chunk_types": ["NP", "VP", "PP"],
"rules": ["NP -> DET NOUN", "VP -> VERB NP", "PP -> PREP NP"]
},
"parsing": {
"grammar": "CFG",
"start_symbol": "S",
"rules": ["S -> NP VP", "NP -> DET NOUN", "NP -> PRO", "VP -> VERB NP", "VP -> VERB NP PP", "PP -> PREP NP"]
},
"named_entity_recognition": {
"entity_types": ["PERSON", "LOCATION", "ORGANIZATION", "DATE", "TIME", "MONEY", "PERCENT"],
"model": "BERT",
"training_data": "CoNLL-2003"
},
"instructions": [
"To use the language generation capabilities, specify a style and genre, and set the desired length of the output text.",
"To use the translation capabilities, specify the source and target languages, and provide the text to be translated.",
"To use the understanding capabilities, specify the task to be performed (question answering, summarization, or sentiment analysis), and provide the text to be analyzed."
]