LANGUAGE modelsNATURAL language processingMODELS & modelmakingSENTIMENT analysisHATE speechThis study carries out a comprehensive comparison of fine-tuned GPT models (GPT-2, GPT-3, GPT-3.5) and LLaMA-2 models (LLaMA-2 7B, LLaMA-2 13B, LLaMA-2 70B) in text classification, addressing...
OneBit: Towards Extremely Low-bit Large Language Models Yuzhuang Xu1, Xu Han1, Zonghan Yang1, Shuo Wang1 Qingfu Zhu2, Zhiyuan Liu1, Weidong Liu1, Wanxiang Che2,† 1Department of Computer Science & Technology, Tsinghua University, Beijing, China 2Research Center for Social Computing and ...
2020. Compressing pre-trained language models by matrix decomposition. In Proceedings of the AACL-IJCNLP, pages 884–889. Pentti Paatero and Unto Tapper. 1994. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values. Environmetrics, 5(...
Although Computer Assisted Language Learning (CALL) has become a major area of research in recent years and although the usefulness of ICT in foreign language learning is generally acknowledged, one has to admit that the CALL-field has not yet managed to provide sufficient added pedagogical value ...
Recent advancements in large language models (LLMs) have opened new pathways for many domains. However, the full potential of LLMs in financial investments remains largely untapped. There are two main challenges for typical deep learning-based methods for quantitative finance. First, they struggle ...
Likewise, the role of AI in education has been extensively examined, with a focus on harnessing AI to enhance learning experiences and improve educational outcomes [7]. The utilization of AI technologies such as machine learning and natural language processing can foster personalized engagement and ...
This has the advantage that the final covariance estimate of the posterior is better tailored to the problem and therefore for our evidence estimation, described in Section 3.7. Second, we propose a new causal model that can extend beyond the additive noise models (ANMs) formulation and allow ...
Health systems have adopted models of integrated care to better align services around the needs of aging populations. The results are encouraging, but inconsistent. Although they are untested, recent approaches — such as the WHO’s ‘Integrated Care for Older People’ — that are explicitly person...
The transformer model is a famous natural language processing model proposed by Google in 2017. Now, with the extensive development of deep learning, many natural language processing tasks can be solved by deep learning methods. After the BERT model was proposed, many pre-trained models such as ...
From this, the model is then optimized for an optimal configuration of hyperparameters.Deep Learning Architecture Deep learning models require a lot of tuning. When you manually tune your deep learning models, it is incredibly time-consuming. The number of hyperparameters used to define deep ...