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hyperledger-labs / aifaq

AI FAQ Proof-of-Concept project: it provides a chatbot that replies to the questions on Hyperledger Ecosystem
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Suggestion to implement latest models like llama-3 or Mistral 7B and should be deployed on a proper FrontEnd Project #8

Open hollermay opened 6 months ago

hollermay commented 6 months ago

I suggest that we use llama models or Mistral 7B foundation models to develop a comprehensive dashboard. We can implement it using React and then deploy it on a cloud server. This approach will ensure scalability and proper accessibility.

@gcapuzzi

anushka1238 commented 6 months ago

I suggest that we use llama models or Mistral 7B foundation models to develop a comprehensive dashboard. We can implement it using React and then deploy it on a cloud server. This approach will ensure scalability and proper accessibility.

Adding to this approachand enhancing it : I have thought of a roadmap for enhanced approach:

1.Immerse Yourself in Data: Ditch the flat screen! Explore data in 3D VR, manipulate points, and uncover hidden relationships through interactive storytelling.

2.AI Knows You Best: No more information overload. AI tailors the interface to your needs, suggesting relevant views and proactively surfacing key insights.

3.Foresight is 20/20: Don't just react, predict! Use real-time anomaly detection and scenario planning to identify risks and forecast potential outcomes.

4.Insights into Action: Go beyond visualization. Take action directly from the interface, triggering workflows, sending alerts, and automating tasks based on your discoveries.

5.Collaboration Redefined: Work together in a shared virtual space. Discuss insights, share knowledge, and make data-driven decisions as a team.

Tools usage could be:

  1. Unity or Unreal Engine (game development engines) with VR plugins like OpenVR or Oculus SDK
  2. Large Language Models (LLMs) like Llama-3 or Mistral-7B for user profiling and AI-generated explanations. Combine with frontend frameworks like React or Angular for user interface customization.
  3. LLMs for real-time anomaly detection and scenario planning. Integrate with cloud-based data streaming services and machine learning frameworks like TensorFlow for real-time analysis.
  4. Integrate workflow automation tools like Zapier or Integromat for triggering actions based on insights. Utilize cloud functions for serverless backend functionalities.
  5. Explore collaborative VR platforms like Mozilla Hubs or Spatial.io for creating shared virtual spaces. Integrate with the data visualization tools used in the environment.

@gcapuzzi