Abstract: Zero-shot object navigation (ZSON) in unseen environments poses a significant challenge due to the absence of object-specific priors and the need for efficient exploration. Existing ...
Abstract: Automatic underground object classification based on deep learning (DL) has been widely used in ground penetrating radar (GPR) fields. However, its excellent performance heavily depends on ...
Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...
In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
In today’s culture of busyness, it’s common to hear a colleague bemoan being “time poor,” or come across articles analyzing whether as a society we have truly become “busier than ever.” But what if ...
This guide assumes that the project is being built on Linux* but equivalent steps can be performed on any other operating system. cmake path/to/repo/root && cmake --build . To run the tests, proceed ...
This project provides a minimal, easy-to-understand codebase for fine-tuning Large Language Models. Our core philosophy is to explain complex optimization techniques with the simplest possible code.
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