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240503 ||| eng |
050 |
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|a QA76.9.N38
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100 |
1 |
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|a Taulli, Tom
|e instructor
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245 |
0 |
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|a What is RAG (Retrieval augmented generation) for an LLM?
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250 |
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|a [First edition]
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260 |
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|a [Place of publication not identified]
|b O'Reilly Media, Inc.
|c 2024
|
300 |
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|a 1 video file (4 min.)
|b sound, color
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653 |
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|a Artificial intelligence / http://id.loc.gov/authorities/subjects/sh85008180
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653 |
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|a Intelligence artificielle
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653 |
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|a artificial intelligence / aat
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653 |
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|a Traitement automatique des langues naturelles
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653 |
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|a Natural language processing (Computer science) / http://id.loc.gov/authorities/subjects/sh88002425
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0 |
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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500 |
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|a "Shortcuts."
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856 |
4 |
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|u https://learning.oreilly.com/videos/~/0642572035150/?ar
|x Verlag
|3 Volltext
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|a 500
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|a 006.3/5
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|a Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more
|