Contact Kontext LoRa

Get in Touch with Our AI Experts

We welcome collaboration, questions, and feedback from the AI and machine learning community. Whether you're seeking research partnerships, technical support, or have questions about LoRA implementation, our team is here to help.

Contact Information

How We Can Help

🎓 Educational Support

We provide comprehensive support for learning and implementing LoRA techniques:

• LoRA implementation guidance and troubleshooting
• Parameter-efficient fine-tuning best practices
• Custom tutorial requests for specific use cases
• Academic course integration and curriculum support
• Workshop and training program development

🔬 Research Collaboration

Join forces with our research team for cutting-edge AI projects:

• Joint research projects on parameter-efficient training
• Co-authoring research papers and publications
• Empirical studies and experimental collaborations
• Access to computational resources and datasets
• Conference presentation opportunities

🏢 Enterprise Solutions

We offer specialized services for organizations:

• Custom LoRA implementation for enterprise models
• Training workshops and team education programs
• Consulting on AI optimization strategies
• Technical architecture review and recommendations
• Long-term partnership and support agreements

🌐 Open Source Contributions

Collaborate with us on open source projects:

• Contributing to LoRA implementation libraries
• Documentation improvement and translation
• Bug reports and feature requests
• Community-driven research initiatives
• Code review and peer collaboration

Contact Form

For your convenience, we've provided a structured contact approach. Please use the appropriate email address based on your inquiry type:

Response Times

We prioritize timely responses based on inquiry type:

• Technical Support: 12-24 hours during business days
• General Inquiries: 24-48 hours during business days
• Research Collaboration: 2-5 business days for detailed review
• Privacy/Legal: 1-3 business days for initial response

Community Guidelines

To ensure productive communication, please:

• Be Specific: Provide detailed information about your question or request
• Include Context: Share relevant background and use case details
• Be Patient: Allow adequate time for thorough responses
• Stay Professional: Maintain respectful and constructive communication
• Follow Up Appropriately: Allow at least one business day before follow-up

Office Hours & Availability

Our team operates across multiple time zones to serve the global AI community:

• Primary Hours: Monday - Friday, 9:00 AM - 6:00 PM (UTC)
• Extended Support: Available for urgent research deadlines
• Weekend Response: Limited availability for critical technical issues
• Holiday Schedule: Reduced response times during major holidays

Social Media & Community

Connect with us through additional channels:

• Research Updates: Follow our latest publications and findings
• Technical Discussions: Participate in community forums
• Conference Presentations: Meet us at AI/ML conferences
• Workshop Announcements: Stay informed about educational opportunities

Privacy and Data Protection

When you contact us, we handle your information with the utmost care:

• All communications are treated confidentially
• Personal information is used solely for response purposes
• Research collaborations include appropriate data sharing agreements
• We comply with international data protection regulations
• For full details, see our Privacy Policy

Address Information

Frequently Asked Questions

Before contacting us, you might find answers in our comprehensive resources:

• AI Blog - Latest insights and tutorials
• Tutorials Section - Step-by-step implementation guides
• Research Papers - In-depth technical analysis
• Resource Library - Tools and reference materials

Thank You

Thank you for your interest in Kontext LoRa and the advancement of AI research. We value every inquiry and look forward to contributing to your success in machine learning and artificial intelligence. Together, we're building the future of parameter-efficient training and making AI more accessible to everyone.