Daniel Whitenack
speaker
2,536 appearances
14 recordings
1 series
first heard May 2026
last heard 10 Sep
Daniel Whitenack’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 14 in all, peaking in Jul 2026 with 4.
Appearances
So let's say that you have a deep seek model, there is uh an LLM or a
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Um that this is a model that was built or trained by a particular vendor.
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Um, and so deep seek in this case was the vendor that creates the deep seq model.
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OpenAI creates GPT models, Anthropic creates cloud models, etc.
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But let's say we take a deep seek model.
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That deep seek model is a it goes through a sort of offline training.
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Training process, which is the creation process of the model.
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And what pops out the other end of that process is not data, not code, but it's kind of a combination of both.
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You have a set of what's called weights or parameters of the model, which kind of parameterize how the model behaves.
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It defines how the model behaves.
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It's just a set of numbers.
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Essentially.
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And those numbers then are loaded into code, which runs the model or runs the model architecture, which is like the structure of the model, how those numbers fit in, how those parameters operate, um, such that you need both that set of parameters and you need the code to run the model.
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And if you have both of those things, then you can put in input into one side and get the output out of the other side.
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Put text in one side and generate text out the other side or whatever your model does.
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So let's say Deep Seek, a vendor, creates a model through a training process that then results in this set of parameters and a set of code that runs those parameters to actually operate the model.
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Now, from there, a few things happen, right?
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Or could happen.
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That
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Vendor could decide to release the model in a productized closed way.
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Showing 2361–2380 of 2,536 · page 119 of 127
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