"DeepSeek is an artificial intelligence company that develops various large language models trained for specific tasks such as software development, general reasoning, and real-time problem-solving."
"Since its inception, DeepSeek has released multiple models and variants, including Base and Chat. Licensing may vary by release, so users should verify each model individually. For image-related use cases, DeepSeek has also released Janus-Pro-7B."
"While DeepSeek engineers were able to train their model for much less than its competitor, OpenAI, the training cost remained low due to its parent company's prior hardware investments. The training cost also doesn't include data acquisition, data cleaning, and processing fees, as well as staff salaries."
"Meanwhile, their novel use of reinforcement learning instead of supervised fine-tuning makes it an LLM capable of improving on its own. It also demonstrated significant numbers in terms of hardware spending. Its input and output usage costs also make it cost-effective for enterprise customers."
DeepSeek is an artificial intelligence company that develops large language models trained for specific tasks such as software development, general reasoning, and real-time problem-solving. DeepSeek was built by Liang Wenfeng, who comes from a background in quantitative finance merged with AI, and it originated from a hedge fund-owned AI lab. DeepSeek has released multiple models and variants, including Base and Chat, with licensing that can vary by release. For image-related use cases, it offers Janus-Pro-7B. DeepSeek V3.0 improves web page design and game front-end design and provides more accurate function calls. Training costs are described as lower than OpenAI’s, supported by prior hardware investments, and reinforcement learning is used instead of supervised fine-tuning. Input and output usage costs are presented as cost-effective for enterprise customers, with premium pricing lower than GPT-4o.
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