Penrose Analyst

Global research news and summary ChatGPT Plugin
This ChatGPT plugin helps search global news and research papers, summarizes Arxiv.org links, and provides the latest news.
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This ChatGPT plugin helps search global news and research papers, summarizes Arxiv.org links, and provides the latest news.

The ChatGPT plugin, Penrose Analyst, is designed to assist users in finding global news and research papers on Arxiv.org that match their interests. It offers the ability to semantically search through articles and papers from the past 5 years, ensuring users have access to up-to-date content. One of its notable features is the capability to summarize and embed Arxiv.org links conveniently, making it easier to navigate through academic papers. Whether you're a professional in need of reliable information for your work or a researcher seeking relevant resources, Penrose Analyst serves as a powerful tool, acting as a personal assistant to sift through vast amounts of information and provide the most pertinent content. With this plugin, you can explore the world of news and academic research effortlessly.

To use the Penrose Analyst plugin, begin by stating what you're looking for, such as a specific news topic, research paper, or a question about an academic paper. The plugin will then conduct a search, scouring global news or academic papers to find relevant information. It can even load the full content of news articles or academic papers for in-depth analysis. Once the plugin finds the information, it will present it to you, offering the ability to read the full content of news articles or providing summaries and answers to specific questions about academic papers. If you require further information or want to explore different topics, simply ask, and the plugin will continue to assist you. Consider the Penrose Analyst plugin as your personal research assistant, guiding you through the vast ocean of news and academic research.

Penrose Analyst Developer Info

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Penrose Analyst ChatGPT Prompt Ideas

Prompt 1: "Can you find recent news articles about climate change?"

This prompt will instruct the Penrose Analyst plugin to search for recent news articles related to climate change. It will scour global news sources and present the user with a list of relevant articles. The user can then read the full content of the articles for in-depth analysis.

Prompt 2: "Find research papers on machine learning techniques."

By using this prompt, the user can ask the Penrose Analyst plugin to search for research papers on machine learning techniques. The plugin will browse through academic papers on Arxiv.org from the past 5 years and provide a list of papers that match the user's request. The user can then choose to read summaries or load the full content of the papers for further exploration.

Prompt 3: "What is the impact of social media on mental health? Can you provide relevant research papers?"

This prompt combines a question and a request for research papers. The Penrose Analyst plugin will first provide a summary or answer to the question regarding the impact of social media on mental health. Additionally, it will search for relevant research papers on the topic, allowing the user to read summaries or load the full content of the papers for more detailed information.

Prompt 4: "Are there any recent articles about renewable energy advancements?"

By using this prompt, the user can ask the Penrose Analyst plugin to search for recent articles about advancements in renewable energy. The plugin will scan global news sources and present the user with a list of relevant articles. The user can then choose to read the full content of the articles for a comprehensive understanding of the advancements.

Prompt 5: "Provide me with research papers on the effects of exercise on cognitive function in older adults."

This prompt focuses on a specific research topic: the effects of exercise on cognitive function in older adults. The Penrose Analyst plugin will search for research papers on this subject and provide the user with a list of relevant papers. The user can choose to read summaries or load the full content of the papers to gain insights into the topic.

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