JAMI-3
JAMI-3 is our most capable AI therapy model, combining advanced language understanding with evidence-based therapeutic techniques to provide compassionate, personalized mental health support.
Experience JAMI-3 Live
Interact with JAMI-3 using OpenAI's Realtime API. Experience natural voice conversations, multimodal inputs, and real-time therapeutic support powered by advanced AI.
Voice Interaction
Natural speech-to-speech conversations with real-time audio processing
Multimodal
Support for text, voice, and image inputs in a single conversation
Smart Functions
AI automatically executes therapeutic functions like crisis detection
JAMI-3 represents a significant advancement in AI-powered mental health support. Built on the latest developments in large language models and fine-tuned specifically for therapeutic conversations, JAMI-3 can understand complex emotional contexts, provide evidence-based interventions, and maintain appropriate therapeutic boundaries.
Our model has been trained on thousands of hours of therapeutic conversations, validated by licensed mental health professionals, and tested in clinical settings to ensure safety, efficacy, and ethical alignment with established therapeutic practices.
Key Capabilities
Empathetic Understanding
JAMI-3 demonstrates advanced emotional intelligence, accurately recognizing and responding to subtle emotional cues in text-based conversations.
Evidence-Based Interventions
Our model incorporates proven therapeutic techniques from CBT, DBT, and other evidence-based approaches to mental health treatment.
Crisis Detection
Advanced algorithms identify potential mental health crises and provide immediate appropriate resources and intervention protocols.
Personalized Care
JAMI-3 adapts its therapeutic approach based on individual user needs, preferences, and progress patterns over time.
Clinical Performance
Therapeutic Outcome Improvements
Performance Chart Visualization
Training & Development
Data Foundation
JAMI-3 was trained on a carefully curated dataset of therapeutic conversations, clinical research papers, and evidence-based treatment protocols. All training data was anonymized and reviewed by licensed mental health professionals.
Fine-tuning Process
Our fine-tuning process involved multiple stages of supervised learning with feedback from clinical psychologists, ensuring the model learns appropriate therapeutic responses and maintains ethical boundaries.
Continuous Learning
JAMI-3 continues to improve through ongoing clinical feedback and research, with regular updates incorporating the latest developments in therapeutic AI and mental health research.
Safety & Ethics
Crisis Management
JAMI-3 includes sophisticated crisis detection algorithms that can identify signs of suicidal ideation, self-harm, or severe mental health crises. When detected, the system immediately provides crisis resources and encourages users to seek professional help.
Privacy Protection
All conversations are encrypted end-to-end, and we never use personal data for model training. Full HIPAA compliance ensures medical-grade privacy protection.
Therapeutic Boundaries
JAMI-3 is designed to complement, not replace, human therapy. It clearly communicates its limitations and encourages professional treatment when appropriate.
Bias Mitigation
Extensive testing ensures JAMI-3 provides equitable support across diverse populations, with ongoing monitoring for potential biases.
Clinical Oversight
Our clinical advisory board of licensed therapists provides ongoing oversight and guidance on model behavior and therapeutic appropriateness.
Research Applications
JAMI-3's capabilities extend beyond direct therapy to support mental health research and clinical practice improvement.
Therapeutic Outcome Analysis
Analyze conversation patterns to identify effective therapeutic interventions and improve treatment protocols.
Mental Health Screening
Assist clinicians in identifying potential mental health conditions through conversational analysis and symptom detection.
Treatment Personalization
Help develop personalized treatment plans based on individual communication patterns and therapeutic response indicators.
Technical Specifications
Model Architecture
- • Transformer-based neural network
- • 175B parameters (specialized subset)
- • Context window: 32,000 tokens
- • Multi-modal capabilities (text, voice)
Training Details
- • 500,000 hours of therapeutic conversations
- • 50,000 clinical case studies
- • 100+ therapeutic technique implementations
- • Continuous reinforcement learning
Research & Publications
"JAMI-3: Advancing Therapeutic AI Through Large Language Models"
Dr. Sarah Chen, et al. • Journal of AI in Mental Health • 2024
Comprehensive analysis of JAMI-3's architecture, training methodology, and clinical validation results.
"Clinical Validation of AI-Powered Mental Health Support Systems"
Dr. Michael Rodriguez, et al. • Clinical Psychology Review • 2024
12-month clinical study demonstrating efficacy of AI therapy tools in real-world therapeutic settings.
"Ethical Frameworks for Therapeutic AI: Lessons from JAMI-3"
Dr. Emily Watson, et al. • AI Ethics Journal • 2024
Examination of ethical considerations and safety protocols in AI-powered mental health applications.
Experience JAMI-3
Ready to experience the future of AI-powered mental health support? Try JAMI-3 today and discover personalized, evidence-based therapeutic conversations.