因此,推荐系统在电商领域中的地位日益重要。LLM(Learning to Rank)是一种基于学习排序的机器学习方法,被广泛应用于信息检索、搜索引擎、推荐系统等领域。本文将重点介绍LLM在电商推荐系统中的应用与探索。一、LLM概述LLM是一种通过学习排序函数对结果进行排序的机器学习方法。在电商推荐系统中,LLM可以用来学习用户和商品...
LiPO,逐列表偏好优化,参阅论文《LIPO: Listwise preference optimization through learning-to-rank》。 RRHF,参阅论文《RRHF: Rank responses to align language models with human feedback without tears》。 PRO,偏好排名优化,参阅论文《Preference rank...
lora_rank 8 \ --lora_alpha 32 \ --lora_dtype AUTO \ --lora_dropout_p 0.05 \ --lora_target_modules DEFAULT \ --gradient_checkpointing true \ --batch_size 1 \ --weight_decay 0.1 \ --learning_rate 1e-4 \ --gradient_accumulation_steps $(expr 16 / $nproc_per_node) \ --max_...
--bnb_4bit_quant_storage bfloat16 \ --lora_rank8\ --lora_alpha32\ --lora_dtype AUTO \ --lora_dropout_p0.05\ --lora_target_modules DEFAULT \ --gradient_checkpointing true \ --batch_size1\ --weight_decay0.1\ --learning_rate1e-4\ --gradient_accumulation_steps $(expr16/ $nproc_p...
I'm not a human, but a machine learning model trained on a large dataset of text to generate responses to a wide range of questions and prompts. I'm here to help you in any way I can, while always ensuring that my answers are safe and respectful. Is there anything specific you'd ...
I'm not a human, but a machine learning model trained on a large dataset of text to generate responses to a wide range of questions and prompts. I'm here to help you in any way I can, while always ensuring that my answers are safe and respectful. Is there anything specific you'd ...
lora_rank 8 \ --lora_alpha 32 \ --lora_dtype AUTO \ --lora_dropout_p 0.05 \ --lora_target_modules DEFAULT \ --gradient_checkpointing true \ --batch_size 1 \ --weight_decay 0.1 \ --learning_rate 1e-4 \ --gradient_accumulation_steps $(expr 16 / $nproc_per_node) \ --max_...
上图为LoRA微调所有线性层,rank64,alpha 16的损失图。 从数值上可以看到GaLore是一种近似全参数训练的新方法,性能与微调相当,比LoRA要好得多。 总结 GaLore可以节省VRAM,允许在消费级GPU上训练7B模型,但是速度较慢,比微调和LoRA的时间要长差不多两倍的时间。
to tailor this prompt to the domain of the document corpus lies in the choice of few-shot examples provided to the LLM for in-context learning (Brown et al., 2020).For example, while our default prompt extracting the broad class of “named entities” like people, places, and organizations...
"Python bindings of C++ session is unavailable, fallback to Python session." ) args.use_py_session = True runner_cls = ModelRunner if args.use_py_session else ModelRunnerCpp runner_kwargs = dict(engine_dir=args.engine_dir, rank=runtime_rank, ...