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Flan
Flan
PulseAugur coverage of Flan — every cluster mentioning Flan across labs, papers, and developer communities, ranked by signal.
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Fine-tuning LLMs: Data quantity depends on behavior vs. coverage
Fine-tuning large language models requires careful consideration of data quantity, as the amount needed depends on whether the goal is to teach specific behaviors or cover a broad range of inputs. For narrow behavioral …
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MERIT pipeline enables decentralized LLM instruction tuning
Researchers have developed MERIT, a novel decentralized instruction tuning pipeline designed to overcome gradient interference and synchronization bottlenecks in large language models. This method involves estimating da…