Papers GPT
Real-time multiplayer implementation of the fun and somewhat degenerate game Camel Up. You can play with friends. Made in 3D with WebGL. Use the arrow keys to pan around.
Enables you to feed any scientific papers into GPT to give it deep customized knowledge. Currently a proof-of-concept UX of the end goal of connecting arbitrary data.
FAQs
What is Papers GPT?
Papers GPT is a language model developed by Jesse Zhang, which is specifically designed to generate scientific text. It is trained on a large corpus of scientific papers and can be fine-tuned on specific scientific domains.
How can Papers GPT be used?
Papers GPT can be used for a variety of tasks in the scientific domain, including text generation, summarization, question answering, and language translation. It can also be fine-tuned on specific scientific domains to generate more accurate and relevant text.
How does Papers GPT compare to other language models?
Papers GPT is specifically designed for scientific text generation and has been trained on a large corpus of scientific papers, which makes it particularly effective for generating scientific text. It can also be fine-tuned on specific scientific domains, which allows it to generate more accurate and relevant text compared to more general-purpose language models like GPT-3. However, it may not be as effective for tasks outside of the scientific domain.
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