DeepSeek goes beyond “open weights” AI with plans for source code release
DeepSeek's initial model release already included so-called "open weights" access to the underlying data representing the strength of the connections between the model's billions of simulated neurons. That kind of release allows end users to easily fine-tune those model parameters with additional training data for more targeted purposes.
DeepSeek’s rapid rise is overshadowed by major security flaws, with a 91% failure in jailbreaking, 93% in malware creation.
DeepSeek has quickly risen to prominence in the AI landscape, prompting incumbents to rethink about their AI architecture and ...
In a move that has caught the attention of many, Perplexity AI has released a new version of a popular open-source language ...
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Sparked two years ago by the launch of Meta’s open source Llama model — and ignited into a frenzy by the release of DeepSeek ...
The demands of DeepSeek's advanced reasoning capabilities are pushing enterprises toward Together AI's optimized infrastructure platform.
AI startup DeepSeek announced plans to open-source five of its code repositories, a move aimed at fostering transparency and community-driven innovation.
Strong demand for advanced AI chips, particularly from hyperscalers, could change if customers start turning to ...
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