人工智能 (AI) 领域的一个热门话题和发展是大型行动模型(Large Action Models),也称为大型智能体模型或简称 LAM。 LAM 是我们现在大多数人都熟悉的大型语言模型 (LLM) 的延伸。 LLM 可以通过根据输入预测下一个单词或标记来生成文本。 LAM通过将这些 LLM 提升为“智能体”,将这一点向前推进了一个阶段。智能体...
微软发布新模型可以自己操作Windows | 微软推出 LAM(Large Action Model)“大型动作模型” ,能够独立操作Windows程序,将用户请求转化为实际行动。是首个专门训练与微软Office产品一起工作的模型。在Word测试中,LAM的成功率达到71%,速度超过GPT-4o。 #微软(Microsoft) ...
吕骋作为Rabbit的创始人,他曾在2014年创立渡鸦科技,并在2017年被百度收购。在百度期间,他出任百度智能家居硬件总经理,积累了丰富的智能硬件和AI技术经验。随后在2018年离开百度,开始了新的创业旅程,而这次他选择了在Rabbit上继续他的创新之路。 具体到产品上,Rabbit R1支持自家的大型动作模型(LAM,large action model)...
For example, xLAM-v0.1-r represents the version 0.1 of the Large Action Model series, with the "-r" indicating it's tagged for research. This model is compatible with VLLM and FastChat platforms. Below is one example on using the older xLAM-v0.1-r model: ...
We would love your help and support on our quest to build a robust and reliable Large Action Model for web automation. To avoid having multiple people working on the same things & being unable to merge your work, we have outlined the following contribution process: ...
as well as through the use of fairness metrics and techniques during model training and evaluation. In addition, it is important to regularly monitor and audit large models for bias and to take corrective action when necessary. This can involve retraining the model on more diverse data or using...
However, traditional RPA has a problem. If the system changes and the buttons change slightly, RPA cannot understand and execute. But with intelligence, AI can recognize the next intention, making the process smarter. Whether to perform a click action or another action, RPA gains the ability to...
🔮 Predictive analytics in action Predictive analytics in customer service uses AI to spot trends and also anticipate what’s next. Imagine knowing when a customer is likely to churn or forecasting a surge in support requests before it happens. Even better, predictive CSAT takes this a step ...
OpenDataLab 是引领AI大模型时代的开放数据平台,让数据集触手可及。- OpenDataLab is a pioneering open data platform for the large AI model era, making datasets accessible. 数据类型 文本-Text图像-Image音频-Audio视频-Video医疗-Medical图-Graph点云-PointCloud演讲-Speech环境-Environment时间序列-Time series...
简介:一组用于自主AIagent(autonomous agents)的Large Agent Model(也就是具有一定通用能力的同时也具有函数调用能力的大模型)。论文的模型参数范围从1B到8x22B,在多样化的agent任务中,实现复杂的多轮交互与函数调用应用的性能平衡。 主要工作量: 1、数据处理:提出一个数据处理pipeline,强调数据统一和增强在增强数据集...