DeepSeek, AI and Open Source
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.
Global Developer Conference (GDC) was held in Shanghai from February 22 to 23, gathering top executives, developers, and ...
DeepSeek revealed on social media platform X that it will be open-sourcing five code repositories over the next week, with ...
Political and business leaders are rethinking AI—as not just a technology to regulate but as a force to accelerate. Medicine ...
DeepSeek has attempted to put a pin in discussion over its privacy concerns, announcing that it would be making five of its ...
DeepSeek’s rapid rise is overshadowed by major security flaws, with a 91% failure in jailbreaking, 93% in malware creation.
We are in the early days of a seismic shift in the global AI industry. DeepSeek, a previously little-known Chinese artificial ...
Salesforce, Inc.'s AI-driven Agentforce boosts productivity, reduces costs, and drives stock gains, with potential for higher ...
Arthur Mensch told Business Insider that DeepSeek was the "Mistral of China," with its new R1 models a "great moment for open ...
Developers at the Global Developer Conference committed to open-source AI model development, touting its advantages after ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback