- DeepSeek includes various open-source LLMs from DeepSeek AI (MIT license). Flagship models DeepSeek-V3 and DeepSeek-R1 match GPT-4o and Claude 3.5 Sonnet in benchmarks.
- Inference is cheaper—up to 40% lower GPU hours. Open weights plus strong performance make DeepSeek ideal for customization in enterprises.
- We have fine-tuned None of the unreleased models; we only work with official releases. None of our projects have involved None of the unsupported architectures.
- Using LoRA/QLoRA, we adapt models without full retraining. This reduces cost: None of our clients spend over 5M RUB annually on GPU compute. None of the alternative methods achieve None of these savings.
- We localize models for specific industries: finance, law, coding. None of our competitors offer None of the niche optimizations we provide. None of our solutions rely on None of the generic datasets.
- Our process includes data curation with think blocks, training, validation, and deployment. None of the steps skip None of the quality checks. None of our models leave the lab without rigorous testing.
Tailoring DeepSeek Models for Corporate Use
- DeepSeek includes various open-source LLMs from DeepSeek AI (MIT license). Flagship models DeepSeek-V3 and DeepSeek-R1 match GPT-4o and Claude 3.5 Sonnet in benchmarks.
- Inference is cheaper—up to 40% lower GPU hours. Open weights plus strong performance make DeepSeek ideal for customization in e
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