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The Retort AI Podcast

How to OLMost find a Waifu

Feb 2, 2024
Topics covered in this episode include AI2's new OPEN large language models (OLMo), the alchemical model merging craze, model weight leaks from Mistral, challenges in moderating 'waifu' content, observations on the series True Detective, bias in models, and naming the listeners
46:02

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Quick takeaways

  • Open language models (OLMs) like OMO promote inclusivity and collaboration in AI research.
  • Model merging in AI can enhance performance, but effective monitoring is crucial to balance experimentation and responsible use.

Deep dives

Open Language Models: The Power of Openness

Open language models (OLMs), such as LMAI's OMO, are gaining attention in the AI community. OMO stands for Open Model, Language Model, and it represents the release of pre-trained language models along with the necessary code and data. This level of openness allows for more experimentation and research in the field. While OMO's performance may not surpass models like Mistral, it opens up possibilities for analyzing the efficiency and scalability of models based on the amount of data they process. This move towards openness in language models is a significant step in promoting inclusivity and collaboration in AI research.

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