Comments (1)
感谢您的宝贵建议,是这样的:
1、基础语义表征(MTEB)评测强调是在中英双语和中英跨语种设置,主要是因为这是社区落地应用的两个强烈的需求。
一个模型就可以实现中英双语和跨语种,不用多个模型(多个模型之间embedding不大能互通)。
2、我们新发布的数据集有两个专注点:更多落地目标领域,以及跨语种能力。主要目标是针对落地应用,比如像百科、金融、问答、论文等场景都是市面上一些实际产品目标落地的领域,我们发布这个评测数据是想看看开源模型在这些真实目标的落地场景的能力。btw,readme中汇总榜单不加这些我们开放的多领域、跨语种retrieval评测集,指标来说也是比其他的好。
3、感谢您的建议:表中的其他开源模型是社区用的比较多的,针对更多多语种的embedding,我们会尽快补充评测(btw,在readme中LlamaIndex评测,有openai-ada-2和cohere-multilingual这些商用多语种embedding对比,可以侧面反映bce embedding的情况)~~
4、总的来说,我们开源目的是为了社区能够更好更方便在RAG项目中用起来(双语、跨语种、一个模型、更多RAG落地场景)的模型~
期望您更多的反馈和建议~~
from bcembedding.
Related Issues (20)
- 测试“Embedding和Reranker集成常用RAG框架”中的样例代码1 HOT 2
- 使用gpu就会崩溃 HOT 4
- 关于模型微调的问题 HOT 1
- 使用 langchain 调用程序报错 HOT 2
- pydantic版本问题 HOT 1
- 下载 tokenizer 时不能指定 auth token HOT 2
- bce-reranker-base_v1原生支持的passage长度问题 HOT 1
- Are there any optimization methods to support the optimized run of this project? HOT 1
- RerankerModel的token数量 HOT 4
- 复现 LlamaIndex RAG评测结果时的一些问题 HOT 1
- Xinference对比手动部署 HOT 4
- 单独部署-用api的方式提供服务 HOT 1
- python3.11报错 HOT 1
- 请问有 C-MTEB (非英文)的测试结果么? HOT 1
- 请问有没有提交到最新的mteb leaderboard的结果对比?
- 请问出现这种情况:Token indices sequence length is longer than the specified maximum sequence length for this model (781 > 512),如何解决? HOT 1
- query只能是一个句子吗?多轮交互下的召回或者排序,BCEEmbedding支持处理呢? HOT 3
- Input validation error: `inputs` must have less than 512 tokens. Given: 1009 HOT 1
- accelerate加速,微调bce模型报错:Could not find the transformer layer class to wrap in the model. HOT 1
- FYI:最近测了 bce chunksize & bge 对比 HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from bcembedding.