综合来看,合理选择Num_latent和\lambda参数对于优化关系嵌入的模型至关重要,可以有效地改善推荐系统的效能。 原文《Sequential Recommendation with Latent Relations based on Large Language Model》
Evaluate how small variations in the input affect the model’s performance on the task Example: An LLM chat application is evaluated using perturbed user queries (e.g., "What is the capital of France?" vs. "What's the capital of France?") to see if it provides consistent and correct...
优化的结果取决于数据,当\omega_2太小或太大时会导致不理想的实验结果,如图(c)所示。 Model-agnostic Property (RQ4) (12). 我们在Netflix上进行了模型无关性的实验,以验证我们数据增强方法的应用性。具体来说,我们将增强的隐式反馈EA和特征FA,u,FA,i 引入了基线MICO, MMSSL和LATTICE。如表所示,我们的LL...
Monitoring model performance– An observability solution should be capable of tracking and monitoring an LLM’s performance in real time using metrics like accuracy, precision, recall, and F1 score (and more specialized ones such as perplexity or token costs in language models). Model health monitor...
Human evaluation methods are indispensable for assessing the nuanced aspects of LLM outputs that automated metrics might miss. These techniques involve direct feedback from human judges, offering qualitative insights into model performance. Direct assessment ...
Explore and analyze the Top Large Language Model (LLM) security solutions with features. Pick the best LLM security tool of your choice to fit your enterprise requirements perfectly: However, they also introduce significant risks, particularly around data security. Employees may inadvertently use levera...
ModelPre-training data Empty CellEnZhTotal GPT-Neo-1.3B 380B – 380B MindLLM-1.3B 241B 82B 323B Results and analysis. The results are presented in Table 5. In comparison to GPT-Neo, MindLLM-1.3B exhibited superior average performance (26.6 vs 24.1) in English tasks with much smaller tr...
Experimental results demonstrate the LLM's ability to generate daily, adaptive training plans that show promise in comparison to the non-tuned model. This integrative approach aims not only to revitalize athletics but also to provide a data-driven foundation for elevated athletic performance on a ...
Grok, an AI model and chatbot trained on data from X (formerly Twitter), originally didn't warrant a place on this list on its own merits. Grok 3, however, offers state-of-the-art performance and reasoning abilities. Still, while its performance now matches other models, I'm mostly list...
: The model type and expected workload should be used to decide deployment hardware. For instance, when scaling to multiple GPUs MBU falls much more rapidly for smaller models, such as MPT-7B, than it does for larger models, such as Llama2-70B. Performance also tends to scale sub-li...