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Description
The world woke up to a new tremor: DeepSeek’s partially open-source model, DeepThink (R1), by a company in China. With benchmarks comparable to other state-of-the-art models, reasoning explained by default, and low-cost development (less than US$6 million), it serves as another wake-up call. It opens the door to more disruption as smaller footprint models can run without the need for specialized hardware, accelerating edge computing use cases like autonomous vehicles and industrial automation. But risks abound in the form of data collection, storage, and release to regulatory authorities. The promise lies in model creation opportunities for many more startups and enterprises.
Key takeaways:
- Learn what DeepSeek’s new model, DeepThink (R1), can do.
- Learn about its impact on the AI model market and on your enterprise AI ambitions.
- Discover which use cases are most impacted by this release.
- Understand the risks involved and how to navigate them.
Target audience level: all levels
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