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 ...
Strong demand for advanced AI chips, particularly from hyperscalers, could change if customers start turning to ...
We are in the early days of a seismic shift in the global AI industry. DeepSeek, a previously little-known Chinese artificial ...
Arthur Mensch told Business Insider that DeepSeek was the "Mistral of China," with its new R1 models a "great moment for open ...
3don MSN
Sparked two years ago by the launch of Meta’s open source Llama model — and ignited into a frenzy by the release of DeepSeek ...
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