Xplorer is a cutting-edge AI-powered bot that revolutionizes the way researchers and enthusiasts navigate and engage with the vast repository of knowledge on arXiv. By leveraging advanced GPT technology, Xplorer provides users with a seamless and intuitive interface to discover, read, reference, and search through an extensive collection of academic papers.
With its comprehensive set of features, Xplorer empowers users to delve deep into the intricacies of various research topics. From exploring the architecture of transformer models and understanding the implementation of reward models in instructGPT, to finding beginner-friendly resources on quantum computing and staying updated with the latest efficiency improvements in perovskite solar cells, Xplorer serves as an invaluable tool for researchers, students, and professionals alike.
Xplorer's user-friendly interface and natural language processing capabilities make it accessible to a wide range of users, regardless of their technical background. Whether you're a seasoned researcher looking to stay at the forefront of your field, a student seeking to expand your knowledge, or an enthusiast eager to explore the latest advancements in science and technology, Xplorer is the go-to bot for all your research needs.
GPT Description
Discover, read, reference, and search through all arXiv papers.
GPT Prompt Starters
Show me the transformer model architecture and tell me the hyperparams of each layer
How is the reward model implemented in instructGPT: https://arxiv.org/abs/2203.02155
Find me a good summary paper/book on quantum computing for beginners
What are the key improvements made in SDXL: https://arxiv.org/pdf/2307.01952.pdf
Write a literature review of model based reinforcement learning.
Tabulate the results of https://arxiv.org/pdf/2311.05997.pdf
What are the latest efficiency improvements in perovskite solar cells
What regularization methods were used in the transformer paper?
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