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In a new study co-authored by Apple researchers, an open-source large language model (LLM) saw big performance improvements after being told to check its own work by using one simple productivity trick. Here are the details.
After an LLM is trained, its quality is usually refined further through a post-training step known as reinforcement learning from human feedback (RLHF).
With RLHF, every time a model gives an answer, human labelers can either give it a thumbs…
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In a new study co-authored by Apple researchers, an open-source large language model (LLM) saw big performance improvements after being told to check its own work by using one simple productivity trick. Here are the details.
After an LLM is trained, its quality is usually refined further through a post-training step known as reinforcement learning from human feedback (RLHF).
With RLHF, every time a model gives an answer, human labelers can either give it a thumbs…
We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.
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