Why Large Language Models Hallucinate - YouTube
This IBM video explores why large language models sometimes generate inaccurate information. The presenter categorizes different types of "hallucinations" and explains their root causes, including data quality and generation methods. Learn practical steps to minimize these occurrences when using LLMs. Follow along using the transcript. This IBM video explores why large language models sometimes generate inaccurate information. The presenter categorizes different types of "hallucinations" and explains their root causes, including data quality and generation methods. Learn practical steps to minimize these occurrences when using LLMs. Follow along using the transcript.
Learn about watsonx: https://ibm.biz/BdvxRD Large language models (LLMs) like chatGPT can generate authoritative-sounding prose on many topics and domains, they are also prone to just "make stuff up". Literally plausible sounding nonsense! In this video, Martin Keen explains the different types of "LLMs hallucinations", why they happen, and ends with recommending steps that you, as a LLM user, can take to minimize their occurrence. #AI #Software #Dev #lightboard #IBM #MartinKeen #llm I'm going to state three facts. Your challenge is to tell me how they're related; they're all space in…
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