Live Training for Open-source Big Models Website•Plan•Discussion•简体中文 What's New Milestones Considering the scale of data and computing resources, CPM-Live will start with a 10B model training. During training we will do: Real-time: Display model training metrics ...
D:\pythonProject\api\venv\Scripts\python.exe D:\pythonProject\api\bigmodel.py ChoiceDelta(content='I', role='assistant', tool_calls=None) ChoiceDelta(content=' am', role='assistant', tool_calls=None) ChoiceDelta(content=' an', role='assistant', tool_calls=None) ChoiceDelta(content=' ...
OpenMetadatais a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration. It is one of the fastest-growing open-source projects with a vibrant community and adoption...
Basically, the language model will do it recursively. It will treat the whole tool as an API, send questions to it, and the tool calls its sub-APIs to solve the question and send it back to parent tools. Try this functionality using scripts like: from bmtools.agent.tools_controller ...
Open-source AI models often rely on publicly available data, which can be limited in scope and diversity. This can lead to inherent biases in the model, as it may not accurately represent the broader population or certain demographics–though this isn’t a problem that’s unique to open-sour...
OpenBMB全称为Open Lab for Big Model Base,旨在打造大规模预训练语言模型库与相关工具,加速百亿级以上大模型的训练、微调与推理,降低大模型使用门槛,与国内外开发者共同努力形成大模型开源社区,推动大模型生态发展,实现大模型的标准化、普及化和实用化,让大模型飞入千家万户。
1.1B估计是适合iPad pro，iPad/iPhone应该是用450M，watch估计是270M。部署体验 首先，目前的OpenELM...
Website|Demo|GitHub Why do we need Home Cloud? Think about it seriously. Is control of our data, smart devices and digital assets now only in the hands of some big company? Is your photo album saved in their cloud service? Do your thermostats, monitors, lamps need to be used through ...
“closed source” where proprietary foundation models, typically owned by big tech companies, charge users per API call. The open-source ecosystem, by contrast, promotes the free sharing and adaptation of AI model parameters (the companies involved make money indirectly, by, for example, sharing ...
These barriers mean that, despite its open source, only a small number of RTKLIB users actually ever dig into the core code. For those who want to take things a step further and experiment with or develop their own GNSS algorithms, RTKLIB may not be an optimal choice. I have often ...