Enterprise Service
Pre-Training Services
Overview.
Build custom foundation models from scratch with our pre-training services. We help you create proprietary AI models trained on your data with custom architectures tailored to your specific requirements.
Pre-Training Techniques.
Causal Language Modeling (CLM)
Next-token prediction training for autoregressive models. Foundation for GPT-style architectures. Achieves perplexity scores of 10-15 on domain-specific corpora.
Masked Language Modeling (MLM)
Bidirectional context learning by predicting masked tokens. Used in BERT-style models. Improves understanding tasks by 20-30% over CLM alone.
Mixture of Experts (MoE)
Sparse activation of specialized sub-networks. Enables 10x model capacity with 2x compute cost. Ideal for multi-domain applications.
Contrastive Learning
Learning representations by contrasting positive and negative examples. Improves embedding quality by 40% for retrieval tasks.
Training Infrastructure.
Data Collection & Curation
Gather 100B+ tokens from diverse sources
Architecture Design
Custom transformer variants and optimizations
Distributed Training
Multi-node GPU clusters with 3D parallelism
Scaling & Optimization
Continuous improvement and checkpoint management
Model Scaling Laws.
Applications.
Proprietary enterprise models, specialized domain knowledge systems, multilingual models for specific regions, industry-specific foundation models, research and academic applications, and government AI systems.