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Last week Meta launched its newest family of models, Llama 3.1, including a new benchmark – an open-source foundation model with 405 billion parameters. With this, Zuckerberg predicted that Meta AI will surpass OpenAI’s 200 million monthly active users by the end of this year.
Hubris aside, this video looks at six reasons why we need to pay attention to this announcement, including Zuckerberg’s assertion that open source will eventually win for language models for the same reasons that Linux eventually won out against an array of closed-source Unix models.
It then describes a situation where a company has already been building solutions using an OpenAI model or Anthropic, for example, but then decides to get an informed point of view about the open source option by creating a challenger model as well, using the new Llama options. For that situation the video suggests which model size to use, plus recommendations for best platform options for the pilot, plus four types of projects that would be good candidates for a head-to-head test of this sort. Finally, it concludes with a light-hearted description of the battle ahead.
Companies worldwide grappled on Friday with what Troy Hunt, famously described as “the largest IT outage in history,” caused by a faulty sensor configuration update that got pushed to Microsoft […]
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