Large language models (LLMs) are recent advances in deep learning models to work on human languages. Some great use case of LLMs has been demonstrated. A large language model is a trained deep-learning model that understands and generates text in a human-like fashion. Behind the scene, it...
Making large language models better data creators can have a significant impact on various fields. Here are a few ways to achieve this: 1. Improve data quality: The quality of data used to train large language models is crucial. By ensuring the accuracy, completeness, and relevance of the da...
Large language models like GPT-3 and PaLM have made impressive progress in this area, but they still face difficulties in reasoning tasks such as GSM8K, a benchmark for arithmetic problems. To improve their reasoning skills, previous work has proposed to guide the language model with prompts ...
Data-driven approaches for autonomous driving (AD) have been widely adopted in the past decade but are confronted with dataset bias and uninterpretability. Inspired by the knowledge-driven nature of human driving, recent approaches explore the potential of large language models (LLMs) to improve ...
Large language models like GPT-3 and PaLM have made impressive progress in this area, but they still face difficulties in reasoning tasks such as GSM8K, a benchmark for arithmetic problems. To improve their reasoning skills, previous work has proposed to guide the language mode...
According to MIT Technology Review, ChatGPT is based on GPT-3, a large language model. Because texts are more complicated than the meaning of every word combined, language models require a type of neural network (神经网络) that can make sense of texts. ...
因此设计了两个训练的任务(其实也就是 prompt): “[Placeholder for input] The original sentence: ⟨\s⟩” 和 “[Placeholder for input] The next sentence: ⟨\s⟩” 也就是之前提到的 EBAE 和 EBAR 。 为节省算力,作者将两个任务合并,修改attention mask如下: ...
(MDP). At present, large models enhance decision-making intelligence, but they cannot replace it, or the two will develop together for a long time. "You need to use large models to enhance some links in the decision-making chain, or to generate some toolboxes through large models and use...
浙江大学,Decision-Making in Robotic Grasping with Large Language Models论文解读 摘要:最近在大型语言模型方面的进步突显了它们编码大量语义知识以支持长期自主决策的潜力,这使它们成为未来家庭助理机器人认知能力的有前景的解决方案。然而,尽管大型语言模型可以提供高层次的决策,但目前还没有统一的范式将它们与机器人的...
It seems that any given large language model (LLM) gets larger and larger with each release. This requires a large number of GPUs to train the model and more resources are needed throughout the lifecycle of these models for fine tuning, inferencing and so on. There’s a new Moore’s law...