ProjectSphere

Large-Scale Research: Simplifying Complex Data and Analysis

In a world where information is abundant yet often overwhelming, researchers need tools that can streamline research and provide insightful, accurate results. Ask Emmy’s ProjectSphere is designed to do just that. By integrating vast amounts of complex data—whether from academic journals, comprehensive studies, or detailed reports—ProjectSphere simplifies the research process, allowing you to focus on what truly matters: uncovering new insights and making informed decisions.

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HOW IT WORKS

Emmy's ProjectSphere

This case study showcases how Ask Emmy enables end-users to create and train SphereBot – a custom GPT model-powered chatbot using diverse research data sources. By pulling information from websites, PDFs, and custom text inputs, the SphereBot delivers precise, contextually relevant responses to complex research inquiries.

Actors

  • End-User: The researcher who provides the training data.
  • Ask Emmy System: The AI system that processes and integrates the data into the chatbot.
  • SphereBot: The AI-powered custom assistant trained on the focused research data.

Pre-conditions

  • The end-user has access to the “ProjectSphere” feature on Ask Emmy.
  • The end-user possesses relevant bot accessible data sources (websites, PDFs, custom texts) for chatbot training.
  • The end-user has basic knowledge of how to upload or input data to the system.

Create Your Project Based Chatbot

Step 1

Create Chat Category

  • The researcher accesses the “ProjectSphere” feature on Ask Emmy and create a chat category.
  • The researcher is free to name the category as desired.
  • Each category may have multiple Spherebots, based on the researcher’s requirements.
Step 2

Train Chatbot

  • Give name to your SphereBot – your custom chatbot.
  • Provide training data, it can be a website, single URL, PDF, custom text and Q&A, CSV, XLXS file format and hit Train GPT button.
  • Repeat this step to train chatbot for each source or set of data. Chatbot can be trained with new info whenever required.
Step 3

Create Chatbot Template

  • Give your SphereBot a personality by clicking “Add Template.”
  • Name the template and select the category you created in Step 1.
  • Fill in the other information and assign the SphereBot you created in Step 2 to this template.
  • Done
POST CONDITIONS

Interacting with Your Project SphereBot

  • The newly created SphereBot can be accessed from the Research section on Ask Emmy Dashboard.
  • The SphereBot is capable of delivering enhanced, contextually accurate responses. When you interact with your custom SphereBot, it pulls information from all integrated sources, delivering a comprehensive response that includes data from the research URLs, PDF, and custom text etc.
  • Researchers benefit from real-time, tailored assistance, making their work more efficient and impactful.

Benefits

The ProjectSphere brings you the capable of delivering enhanced, contextually accurate responses. Researchers benefit from real-time, tailored assistance, making their work more efficient and impactful.

  • Access to Comprehensive Information: The SphereBot draws from integrated data sources, providing thorough and detailed answers.
  • Real-Time Assistance: The SphereBot delivers immediate, contextually relevant responses, saving time for researchers.
  • Tailored Responses: The SphereBot’s answers are dynamically tailored to the researcher’s specific queries.
  • High Efficiency: Automates data extraction and processing, streamlining the research process.
  • Enhanced Research Experience: Provides researchers with easy access to vast amounts of data, enabling deeper insights and more informed decisions.

Transform Complex Data into Clear Insights

With Ask Emmy’s ProjectSphere, you can create personalized chatbots tailored to your unique needs. By simplifying complex tasks and streamlining workflows, ProjectSphere empowers you to unlock new possibilities and achieve your goals effortlessly. Build your custom AI-powered research assistant to read, write, and organize research seamlessly.
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