arXiv • Perplexity • Vector DB
AI Researchers of Leading ML Experts
Conversational AI trained on research papers and academic publications.
Chat with AI researchers or watch research debates.
Conversations
1-on-1 chat with AI researchers
Debates
Watch AI researchers discuss topics
Live Example
"Geoffrey Hinton, explain your breakthrough in deep learning"Geoffrey Hinton
How It Works
Three-step process to create AI twins from ML research publications
01
Data Ingestion
Upload ML papers or use integrated academic databases like arXiv
arXiv APIAcademic papers
PerplexityReal-time data
PDF ParserDocument processing
02
AI Training
Vector embeddings and LLMs create research-grounded AI twins
Vector DBSemantic storage
GPT-4Language model
Custom PromptsPersonality tuning
03
Interaction
Engage in research conversations or watch moderated debates
Conversations
Debates
Technical Architecture
arXiv Integration2M+ papers
Vector DatabasePinecone storage
Language ModelOpenAI GPT-4
Real-time DataPerplexity API
Use Cases
How ML researchers, students, and practitioners use AI twins
Direct Conversations
Research AssistanceQuery ML experts about methods & architectures
Learning & EducationMaster concepts from leading researchers
Research GuidanceExplore research directions & approaches
Moderated Debates
Research DiscussionsCompare perspectives on ML approaches
Technical AnalysisEvaluate different research viewpoints
Educational MaterialGenerate learning content from debates
Key Features
Research-GroundedBuilt from actual ML research papers
Authentic VoiceReflects researcher's style & perspectives
Always Available24/7 access to ML research insights
Continuously UpdatedRegular knowledge base expansion
Get Started
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