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...
The recent advancements in large language models (LLMs) have revolutionized the field of natural language processing, progressively broadening their scope to multimodal perception and generation. However, effectively integrating listening capabilities into LLMs poses significant challenges, particul...
Given how little effort went into optimizing these outcomes, it is reasonable to expect LLMs to be used on tabular data in an increasingly large set of environments. It is also likely that LLMs will outperform traditional techniques, on small data sets, at some point in the near future. As...
Wohling, Th., Geiges, A., Nowak, W., Gayler, S., Hogy, P., Wizemann, H.D., 2013. Towards optimizing experiments for maximum-confidence model selection between different soil-plant models. Procedia Environ. Sci. 19, 514e523. http:// dx.doi.org/10.1016/j.proenv.2013.06.058....
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 lan...
In another way, based on the age prediction model that takes into account the dependence of components for product quality necessities, a predictive maintenance approach with the functional importance of components is proposed. In addition, there are two key models of PdM—data-driven and model-...
We demonstrate our proposed algorithm on an IoT application in the farming domain to see how the algorithm helps with optimizing the applied security mechanisms. In addition, we used THREATGET to analyze cyber risks and validate the optimized security attributes against the propagation of cyber ...
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...
see that the two pipelines share many similarities. 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 ...
Challenge 3: Optimizing network protocols to connect all things Today, our primary networks can support tens of billions of consumer connections. By 2030, they will need to support trillions of industry connections. This will bring three major obstacles to network protocols. ...