Fine Tuning On Proprietary Codebase With Incremental Learning

via “base model raw generation for fine-tuning and domain adaptation”

DeepSeek's 236B MoE model specialized for code.

Unique: Provides base model variants without instruction-tuning, enabling full fine-tuning flexibility while maintaining the sparse MoE architecture and 128K context, allowing organizations to create domain-specific variants

vs others: Offers open-source base models for fine-tuning unlike proprietary APIs (GPT-4, Claude), enabling full control over model adaptation and proprietary data handling