Team
MemU
Project Concept
Long Term Memory for LLMs can reveal a lot about the users. Can we leverage this info to build user profiles that help the user to find/explore/benefit out of it.
Today, we are exploring the e-commerce aspect. Can we recommend a cool outfit to the user?
Entry
Status: Submitted
Last saved: May 03 at 4:51 PM PDT
Team Roster
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TEJAS RAJURKAR Team Lead RSVP Approved
AI Engineer at AMGI Studios
Backend and DB
Tejas Rajurkar is an Artificial Intelligence Engineer with a specialized focus on enhancing human-computer interaction through the integration of AI technologies with animation and interactive media. His work emphasizes the development of emotionally responsive, real-time AI characters by leveraging large language models (LLMs), computer vision for emotion recognition, and neural animation systems.
LLM, RAG, Finetuning, Computer Vision, Memory
Combining conversational LLMs with Disney-level Animation Characters.
Zachary Ta RSVP Approved
Software Engineer Intern at Voker
UI and backend
Software Engineer Intern at Voker (YC S24), focusing on streamlining AI feature development for product teams. Pursuing a B.S. in Computer Science at UC Riverside. I love fitness and health, specifically bodybuilding.
startups, fitness trends, AI applications
Currently contributing to Voker (YC S24), a no-code AI platform enabling product teams to build and deploy production-ready AI features quickly and efficiently