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Feb 1, 2024 · Abstract:We present evidence of substantial benefit from efficient exploration in gathering human feedback to improve large language models.
We present evidence of substantial benefit from efficient exploration in gathering human feedback to improve large language models.
Jul 29, 2024 · We present evidence of substantial benefit from efficient exploration in gathering human feedback to improve large language models.
Feb 3, 2024 · Our results demonstrate that efficient exploration enables high levels of performance with far fewer queries. Further, both uncertainty ...
We present evidence of substantial benefit from efficient exploration in gathering human feedback to improve large language models.
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We present evidence of substantial benefit from efficient exploration in gathering human feedback to improve large language models.
Feb 4, 2024 · A new and exciting paper from Google DeepMind and Standford University on efficient exploration in gathering human feedback to improve LLMs was published.
Aug 29, 2024 · Their work, titled "Efficient Exploration for LLMs" presents innovative strategies for preference data collection. ... Efficient Exploration for ...
Feb 1, 2024 · Comments1 · Hymba: A Hybrid-head Architecture for Small Language Models · Does Prompt Formatting Have Any Impact on LLM Performance?