Inspiration
I recently came across an article discussing the sharp decline in Stack Overflow usage, as more and more users now prefer turning to AI for instant answers rather than spending extra time searching or engaging in discussions. This is was the bridge we wanted to repair, resulting us coming up with an application that will help humans learn topics from each other. Using AI to bring us closer together and increase interactions, rather than breaking our connections down. Henceforth the idea of a Knowledge sharing system using llms
What it does
KnowledgeX is a social learning platform where each user has a profile highlighting the topics they are well-versed in. Users can search for skills they want to learn and connect with others who possess those skills. In this way, KnowledgeX enables people to help one another by sharing knowledge and learning collaboratively.
How does it work
KnowledgeX works like a marketplace for human knowledge. Each user tells the system two things , what they already know and one topic they need help with right now. Now instead of AI teaching the user, the system's job is to find the right people for them to learn from. This process with the help of LLMs. We also utilize embeddings to embed the user's needs so that we can compare it to others' skills
Challenges we faced
One major challenge was that embeddings alone were not enough. While they are good at finding similar topics, they often miss important details like skill depth, prerequisites, or whether someone wants quick help etc. This made it clear that we needed a hybrid approach that combines embedding with reasoning from a language model
What is the future for KnowledgeX
In future, this idea can scale to many real-world use cases, such as student communitites, university peer learning , developer communities. The long term vision for KnowledgeX would be to covert into a place where people who excel at different topics can come together and work towards a common goal. Becoming a great place to find , learn , build together.
Built With
- api
- embeddings
- fastapi
- javascript
- llm
- python
- tokencompany
- trae
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