Generative AI as a personal agent for knowledge management processes
Unleash the power of Artificial Intelligence and generative models in the pharmaceutical industry together with Boehringer Ingelheim by developing personalized AI agents that support health workers in knowledge management, research & content creation.
#KnowledgeManagement #PersonalAIagent #GenerativeAI
✅ Completed 🏁 Winner Congratulations to Curiousity AI (1st place) & Arkangel AI (2nd place) for winning the challenge!
🏆 Prize Funded Co-Creation + versatile collaboration models for implementation
📃 Venture clienting BI is searching for a long-term partner to implement the solution
In this tab, you can find all the relevant information for your submission. The following contents must be submitted for participation.
How to submit
- Submission template (mandatory)
A standard template is available. The template will help you structure your solutions and approaches and provide answers to all relevant questions and frameworks. Please download the submission template here. - Optional content
You can try to stand out and also supplement your submission with prototypes, image and video materials, or other concepts or visual elements - simply submit these files additionally via our platform.
These questions should definitely be addressed as part of your concept:
- What specifics needs to be considered for the model to be developed for the pharmaceutical industry?
- How will the interaction between humans and machines be designed and how can it be personalized?
- What does the technical implementation look like?
Requirements
Technology
The developed solution should be a large language model (LLM) that can be integrated directly into the web browser.
When developing the technology, you have the option to utilize available resources, such as leveraging an existing (open source) LLM or building your own model.
Information aggregation
The solution should focus on summarizing and aggregating information from various sources such as clinical developments, trials, current research results and FDA notifications. A Google search API can be helpful here.
Personalizable & Customizable
The Knowledge Base database should be customizable to enable flexible and personalized information management.
Privacy compliant
The developed solution must meet data protection requirements and provide users with a secure and trusted environment
References
The solution should always transparently present the sources from which information was obtained to ensure the credibility and traceability of the data provided.
Compatibility
The solution developed was to be specifically tailored to the requirements and knowledge of the pharmaceutical industry in order to provide optimal support to information workers.