SphereLabs AI
Our cutting-edge research division developing the next generation of Large Language Models with revolutionary architecture and capabilities.
Innovative LLM Architecture
Our research team is developing a revolutionary approach to language model design
Multi-Modal Integration
Our architecture seamlessly integrates text, image, audio, and video understanding in a single unified model.
Efficient Parameter Usage
Revolutionary sparse activation patterns allow our models to use 70% fewer parameters while maintaining performance.
Specialized Architecture
Domain-specific fine-tuning with novel transfer learning techniques for unprecedented accuracy.
Hierarchical Reasoning
Multi-level attention mechanisms enable complex reasoning across different abstraction levels.
Multilingual Capabilities
Native understanding of over 100 languages with cross-lingual knowledge transfer.
Optimized Inference
Custom hardware acceleration and quantization techniques for real-time performance on edge devices.
Our Research Approach
At SphereLabs, we're pioneering a new approach to language model development that we call "Cognitive Sphere Architecture" (CSA). This revolutionary framework organizes neural networks into interconnected spheres of specialization that can be dynamically activated based on the task at hand.
Specialized Knowledge Domains
Each sphere contains specialized knowledge and processing capabilities for different domains.
Dynamic Routing
Intelligent routing mechanisms direct queries to the most relevant spheres, enabling efficient processing.
Continuous Learning
Our architecture allows for continuous learning and adaptation without catastrophic forgetting.
Advanced LLM Engineering
Learn to build, train, and deploy state-of-the-art language models from industry experts
Course Description
This comprehensive course takes you from the fundamentals of language models to the cutting-edge techniques used in industry. You'll learn the theory behind modern LLMs, gain hands-on experience training and fine-tuning models, and develop the skills to build applications powered by AI.
What You'll Learn
- Transformer architecture and attention mechanisms
- Training and fine-tuning techniques for LLMs
- Prompt engineering and optimization
- Building AI-powered applications
- Ethical considerations and responsible AI development
Duration
12 weeks, 20 hours/week
Format
Online with live sessions
Next Cohort
Starting June 15, 2023
Join the Next Generation of AI Engineers
Our LLM Engineering course is limited to 30 students per cohort to ensure personalized attention and hands-on learning. Applications are now open for our June 2023 cohort.