BoN作为一个简单的sampling算法,在inference阶段能够提升生成response的质量,主打一个简单好用。然而,每次inference都要采用N个response再打N次分实在太慢,并且耗费资源。最近看到两篇文章都和BoN有关,先简单记录下第一篇。 前两天google发了一篇 BOND: Aligning LLMs with Best-of-N Distillation,起名J-BOND,名字很...
来自openai,2023.05月的论文;用Process-supervised Reward Models(PRMs,对每个reasoning step进行正确性打分,如图2)在更具挑战的数学数据集MATH上进行的实验;结论是:在用于best-of-N sampling时,PRMs比ORMs(只给整体answer打分)更好(见图3),且候选solution越多时效果差距越大,说明PRMs比ORMs更鲁棒,更不容易被“表面...
OpenAI 同样在后续的 [2112.09332] WebGPT: Browser-assisted question-answering with human feedback 中使用了 Best-of-N 采样(拒绝采样,Rejection Sampling)。具体来说,从 BC 模型或 RL 模型中抽取固定数量的回答(4、16 或 64 个),并选取奖励模型评分最高的那一个,以此作为对抗奖励模型的一种优化方法,该方法...
1)如何计算 P< P<=,其实也就是计算分位数quantiles; 2)如何有效地对齐两个 reward 3) 如何选择合适的 N 对于第一个问题, 最直接的方案就是蒙特卡洛采样(Monte-Carlo sampling), 建模方式是: 对于第二个问题, 作者认为 FKL 和 RKL 都可以, 为了平衡两者,采用了Jeffreys divergence,也就是二者的加权和: 这...
. In practice, this is currently (imo) a very convoluted part of the code to deal with, the equivalent best_of sampling param you have to look for is query_lens (created on self._prepare_model_input, code changes based on backend), so how many tokens are sampled at each step....
RWKV-4 Web Demo: https://josephrocca.github.io/rwkv-v4-web/demo/ (note: only greedy sampling for now) For the old RWKV-2: see the release here for a 27M params model on enwik8 with 0.72 BPC(dev). Run run.py in https://github.com/BlinkDL/RWKV-LM/tree/main/RWKV-v2-RNN. ...
The SRTAG16K and SRTAG64K are available in production volume, the SRTAG2KL, SRTAG2KL-P, and SRTAG512L are sampling to lead customers. Prices for orders of 1,000 pieces start at $0.17 for the 512-bit version.For further information please visit www.st.com/srtag-nb1502...
Part 2 is a small sampling of Saroyan's work plus an interview and a traveler's sketch of Armenia. Part 3 is a selection of critical work. Of particular interest is the essay, "The Time of William Saroyan's Life" by ... C Reynolds - 《Western American Literature》 被引量: 2发表:...