We aim to use large language models (LLMs) for multi-features time series forecasting in stock prediction, where we leverage multiple alphas (domainspecific time series features) and their explanations (text features) to frame the task as next-token prediction. However, existing methods are often...
Jing Pan, Xunying Liu, Jinyu Li, Sunit Sivasankaran, Linquan Liu, Furu Wei March 2024 arXiv Publication|Publication Download BibTex The recent advancements in large language models (LLMs) have revolutionized the field of natural language processing, progressively broadening their scope ...
Many natural language processing ... K Barker 被引量: 41发表: 1998年 $$E^3$$ : Optimizing Language Model Training forTranslation viaEnhancing Efficiency andEffectiveness In the field of Natural Language Processing (NLP), Large-scale Language Models (LLMs) have demonstrated exceptional capabilities...
ChatGPT: Optimizing language models for dialogue. https://openai.com/blog/chatgpt/ Perkins, M. (2023). Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20(2). https://doi.org/...
soil-plant modelsoptimal design of experimentsWe present a method for experimental design, optimizing data acquisition for maximum confidence in the soil-plant model selection task. The method considers uncertainty in parameters, measurements and model structures. We combine Bayesian Model Averaging (BMA)...
I want to thank Jennifer Lim and Néstor Nápoles for their help with this project. References [1] J. Schulman et al., ChatGPT: Optimizing Language Models for Dialogue (2020) ChatGPT Artificial Intelligence Machine Learning Music Deep Dives Some rights reserved 177 4Published...
Optimizing cover crop practices as a sustainable solution for global agroecosystem services Cover crops can improve agricultural sustainability. In this meta-analysis, the authors find that a biculture of legume and non-legume cover crops is optimal and may promote multiple agroecosystem services while...
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
For example, both pipelines are interacting with human users to satisfy the users or DMs with an accurate model or preferred solutions. In addition, the model or solutions are obtained through training the model on the data or optimizing an MOP. Fig. 6 An illustration of the pipelines of ML...
In this article we’ll use a Q-Former, a technique for bridging computer vision and natural language models, to create a visual question answering system. We’ll go over the necessary theory, following the BLIP-2 paper, then implement a system which can be used to talk with a large la...