## Use Open-Source Models as Backends The basic workflow of using an open-sourced model as the backend is based on an external server running LLM inference service, e.g. during the development we chose [FastChat](https://github.com/lm-sys/FastChat) to run the service. We do not fix...
模型的安全性:论文强调了在模型开发过程中确保安全性的重要性,并提出了一种安全内容分类系统来评估模型的安全性。 模型的性能评估:论文通过在多个公共基准测试和开放性评估中对DeepSeek LLM进行评估,展示了其在代码、数学和推理等领域的优越性能。 通过这些研究,论文旨在为开源LLMs的长期发展奠定基础,并为未来在这一...
Security Insights Additional navigation options master 1Branch 0Tags Code This branch is2 commits ahead of,195 commits behindcarla-simulator/carla:master. Folders and files Name Last commit message Last commit date Latest commit henryliu5 fix python boost recompilation ...
Google LLC released Gemmatoday, a family of lightweight open-source artificial intelligence large language models built using the same research as Gemini, the company’s largest and most powerful AI technology. According to Google, the model’s name comes from the Latin word “gemma,” which is...
Build your open-source technical skills with step-by-step guidance. Explore learning paths Discover, try, and deploy open-source solutions Explore a rich catalog of open-source solutions and enterprise apps—certified and optimized to run on Azure. ...
WWT trained the generative AI models on 100 million to 3 billion parameters, which the company found could fit into the memory of typical on-premises hardware, excluding the RAM used by the GPU. By comparison, OpenAI used 175 billion parameters to trainGPT-3. ...
This tutorial includes the workings of the Open Source GPT-4 models, as well as their implementation with Python.
• October 4, 2023 • 3 min read Accelerating over 130,000 Hugging Face models with ONNX Runtime ONNX models can be accelerated with ONNX Runtime, which works cross-platform and provides coverage for many cloud and language models. ...
Start with performance. According to leading benchmarks such as the Massive Multitask Language Understanding, OpenAI's GPT-4 currently stands out as the most powerful and capable LLM by a significant margin. Although the quality of open-source models is rapidly improving, they remain behind the ...
Closing the Gap to Commercial Multimodal Models with Open-Source Suites 相关链接:arXiv[github] [office] 关键字:开源、多模态、大型语言模型、商业模型、性能差距 摘要 在这篇报告中,我们介绍了InternVL 1.5,一个开源的多模态大型语言模型(MLLM),旨在弥合开源和专有商业模型在多模态理解方面的能力差距。我们引...