Model Card: AdemGPT
General Information Model Name: AdemGPT Description: AdemGPT is a pre-trained generative language model that seeks to generate coherent and relevant text based on a wide spectrum of linguistic tasks.
Authors and Affiliations Authors: [Trat80] Affiliations: [N/A]
Model Functionality Supported Tasks: Text generation, Answering questions, Text to text, etc. Supported Languages: Mainly Spanish. Examples of Use: Generation of summaries, creative writing, informal conversation, among others.
Dataset and Training Dataset Origin: Created from multiple sources of text in Spanish (books, online articles, conversations, etc.). Dataset Size: Contains millions of examples of text in Spanish. Training Procedures: The GPT-3 architecture was used and trained for several weeks in a high-performance environment.
Model Performance Evaluation Metrics: Text coherence, precision in questions and answers, language fluency, etc. Results: Achieved high scores on text generation tests and language processing tasks.
Ethical Considerations Bias Considerations: Efforts have been made to mitigate bias, but there may be some inherent biases in the training data. Privacy and Security: The model does not store user information and caution should be taken when using it with sensitive data.
Limitations of the Model Known Limitations: Cannot provide information in other languages and may have difficulty with very specialized or technical concepts.
License and Conditions of Use License: [cc-by-nc-sa4.0] Conditions of Use: The model is available for non-commercial and educational use. It is recommended to review the license terms.