Deepseek and Bland AI: Why We’re Fans of Open Source Innovation

Deepseek is an open-source large language model (LLM) that has gained attention for its focus on chain-of-thought reasoning and deep problem-solving capabilities, all developed on a $5.6 million training budget. It stands out for its adaptability, allowing developers to modify and refine its functions to suit specific needs, which has led to a variety of early experiments. While Deepseek's CoT-based reasoning is effective for tasks requiring multi-step reasoning, such as research and strategic planning, it is slower compared to models designed for real-time conversation, making it less suitable for speed-sensitive applications. Despite its strengths, Deepseek is not seen as a disruptive force for all AI businesses; rather, it complements existing strategies, as in the case of Bland AI, which values low latency and real-time performance. Bland AI continues to leverage open-source models like Deepseek as building blocks, refining them to enhance their domain-specific performance, thereby maintaining a strong position in the AI market focused on voice solutions.

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