Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
2024年3月12日 · Abstract: We investigate efficient methods for training Large Language Models (LLMs) to possess capabilities in multiple specialized domains, such as coding, math reasoning and world knowledge. Our method, named Branch-Train-MiX (BTX), starts from a seed model, which is branched to train experts in embarrassingly parallel fashion with high ...
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
2024年3月12日 · Our method, named Branch-Train-MiX (BTX), starts from a seed model, which is branched to train experts in embarrassingly parallel fashion with high throughput and reduced communication cost.
Branch-Train-MiX: Meta开源一个融合多个领域专家模型成一 …
2024年7月11日 · Branch-Train-MiX (BTX) ，提高大型语言模型（LLMs）在多个专业领域（如编程、数学推理和世界知识）的能力。 BTX方法的核心思想是结合了Branch-Train-Merge (BTM) 方法和Mixture-of-Experts (MoE) 架构的优势，同时减少了它们的不足。
named Branch-Train-MiX (BTX), starts from a seed model, which is branched to train experts in embarrassingly parallel fashion with high throughput and reduced communication cost. After
arXiv_papers/Branch_Train_MiX_Mixing_Expert_LLMs_into_a
Combining BTM and Mo strengths, the Branch Train Mix (BTX) model enhances training efficiency and performance. BTX merges feedforward sublayers of expert LLMs into a single Mo module at each layer. A router network selects which expert to use for each token, fine-tuning the model on combined data.
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
2024年3月13日 · We investigate efficient methods for training Large Language Models (LLMs) to possess capabilities in multiple specialized domains, such as coding, math reasoning and world knowledge. Our method, named Branch-Train-MiX (BTX), starts from a seed model, which is branched to train experts in embarrassingly parallel fashion with high throughput and ...
整合升级BTM和MoE，大模型专业领域能力高效训练法BTX诞生-CS…
2024年3月15日 · 最近，Meta基础 人工智能研究 （FAIR）团队发布了名为Branch-Train-MiX (BTX)的方法，可从种子模型开始，该模型经过分支，以高吞吐量和低通信成本的并行方式训练专家模型。 Meta FAIR的成员之一Jason Weston在其X上发文介绍了这一进展。 BTX能够提高大型 语言模型 （LLMs）在多个专业领域的能力，如编程、数学推理、世界知识等细分专业领域。这些专家模型在训练后，其前馈参数被整合到混合专家（Mixture-of-Expert, MoE）层中，并进行 …
Meta AI Introduces Branch-Train-MiX (BTX): A Simple Continued ...
2024年3月14日 · Researchers from FAIR at Meta introduce Branch-Train-Mix (BTX), a pioneering strategy at the confluence of parallel training, and the Mixture-of-Experts (MoE) model. BTX distinguishes itself by initiating parallel training for domain-specific experts.
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