In this article, we will explore how we can use Llama2 for Topic Modeling without the need to pass every single document to the model. Instead, we will leverage BERTopic, a modular topic modeling technique that can use any LLM for fine-tuning topic representations.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome - GitHub - jerryji1993/DNABERT: DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
A few years ago, creating a chatbot -as limited as they were back then- could take months ��, from designing the rules to actually writing thousands of answers to cover some of the conversation…
T. Gao, X. Yao, и D. Chen. (2021)cite arxiv:2104.08821Comment: Accepted to EMNLP 2021. The code and pre-trained models are available at https://github.com/princeton-nlp/simcse.
T. Gao, X. Yao, и D. Chen. (2021)cite arxiv:2104.08821Comment: Accepted to EMNLP 2021. The code and pre-trained models are available at https://github.com/princeton-nlp/simcse.
A. Mahapatra, S. Nangi, A. Garimella, и A. N. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, стр. 942--951. Abu Dhabi, United Arab Emirates, Association for Computational Linguistics, (декабря 2022)
S. Toshniwal, P. Xia, S. Wiseman, K. Livescu, и K. Gimpel. Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference, стр. 111--120. Punta Cana, Dominican Republic, Association for Computational Linguistics, (ноября 2021)