From the uDemy course on LLM engineering.
https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models
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58 lines
1.7 KiB
58 lines
1.7 KiB
WEBVTT |
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And once again, it's that moment when you take a pause and congratulate yourself on another day of |
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skills learned and fantastic achievements of being able to be an expert in the hugging face Transformers |
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library. |
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In addition to using pipelines and tokenizers, you can now use models. |
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You can look at models, you can load different models, and you can run models to do hopefully more |
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than just tell jokes, but also other kinds of text generation tasks like the ones we've done in previous |
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weeks. |
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Uh, you, uh, also can, of course, code confidently with frontier model APIs and build AI assistants, |
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including multimodal AI assistants, and use tools. |
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So all of this together, uh, totals a significant amount of learning that you've done already, with |
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a lot more exciting stuff ahead. |
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The next session, we're going to do one more project with Tokenizers and models, just to give you |
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a little bit more experience. |
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Uh, and we're also going to yeah, just keep keep running inference on open source models and implement |
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an LLM solution that's going to combine a frontier model call with an open source model call. |
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And it will be a useful business application. |
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And it's going to really wrap up this week of learning about hugging face and open source. |
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So looking forward to it. |
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I will see you then.
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