June 2025
Intermediate to advanced
414 pages
9h 54m
German
Content preview from Large Language Models selbst programmierenBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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BReferenzen und weiterführende Literatur
Kapitel 1
Benutzerdefinierte LLMs sind in der Lage, allgemeine LLMs zu übertreffen – das hat ein Team bei Bloomberg mit einer Version von GPT gezeigt, die von Grund auf mit Finanzdaten vortrainiert wurde. Das benutzerdefinierte LLM hat ChatGPT bei Aufgaben des Finanzwesens übertroffen und gleichzeitig eine gute Performance bei allgemeinen LLM-Benchmarks gezeigt:
- »BloombergGPT: A Large Language Model for Finance« (2023) von Wu et al., https://arxiv.org/abs/2303.17564
Auch bestehende LLMs lassen sich anpassen und feintunen, um allgemeine LLMs zu übertreffen, was Teams von Google Research und Google DeepMind im medizinischen Kontext bewiesen haben:
- »Towards Expert-Level Medical Question Answering with ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.