How RamaLama helps make AI mannequin testing safer

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Right here, for context, is what I mentioned:

I wish to present you ways straightforward it’s to check deepseek-r1. It’s a single command. I do know nothing about DeepSeek, the way to set it up. I don’t wish to. However I wish to get my arms on it in order that I can perceive it higher. RamaLama can assist!

Simply kind:


ramalama run ollama://deepseek-r1:7b

When the mannequin is completed downloading, kind the identical factor you typed with granite or merlin and you’ll evaluate how they carry out by their outcomes. It’s attention-grabbing how DeepSeek tells itself what to incorporate within the story earlier than it writes the story. It’s additionally attention-grabbing the way it confidently says issues which can be fallacious 🙂

What DeepSeek thinks

I included in my electronic mail the outcomes of a question I entered into DeepSeek. I requested it to jot down a narrative a couple of sure open source-forward software program firm.

DeepSeek returned an attention-grabbing narrative, not all of which was correct, however what was actually cool was the best way that DeepSeek “thought” about its personal “pondering” — in an eerily human and clear method. Earlier than producing the story, DeepSeek—which, like OpenAI o1, is a reasoning mannequin—spent a number of moments muddling by means of how it will put the story collectively. And it confirmed its pondering, 760-plus phrases’ value. For instance, it reasoned that the story ought to have a starting, a center, and an finish. It must be technical, however not too technical. It ought to discuss merchandise and the way they’re being utilized by companies. It ought to have a optimistic conclusion, and so forth. 

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