Comments (1)
machine learning = find the most similar data in training dataset
from paper-to-read.
Related Issues (20)
- 文本生成任务,需要的是99%正确率的训练数据,和更多99%正确率的训练数据, ChatGPT帮标注的数据,还是要人工标注一遍才能达到这个正确率。 HOT 1
- 去质检 标注结果,也可以用找相似的**的,比如发现一个标注错误,总结规律,找出小范围的相似样本,重新培训,重新标注
- 做大模型的意义,不是在一个领域把正确率从95%提升到96%,而是其通用能力,比如加少量数据 迁移到另一个领域也有93% HOT 1
- 只用少量样本或零样本,就能迁移到新领域,这不就是AGI么
- 探索最高效的数据人工标注方法
- explore the best method to label data by human
- 现在ChatGPT在所有领域都是80分,做的比ChatGPT更好也就是全领域85分吧。做出某一个领域99分的大模型啊
- 大模型的优势在于其容量,而不是能小样本学习
- transform data science to software engineering by batch-labeling
- 想batch-label也不过是 找相似数据 的方法 HOT 1
- 看起来 一条数据有一条数据的价值,想批量标注不好弄啊 HOT 3
- pretrain GPT is to learn the sentence similarity. HOT 1
- data science = software engineering, for human-labeled task. HOT 3
- 少一条训练数据,少一分模型效果,预训练+小样本学习 是利用预训练的 结果 作为 最终结果 么。所以,不如摒弃探索预训练。 HOT 1
- 《Best Practice To Write Training Dataset》
- 《Delving into Noisy Label Detection with Clean Data》 HOT 1
- k-NN是纯基于统计
- cold start by ChatGPT
- 想用batch-label的方式,就是标的一个label直接给相似数据,不就是data-augment么,data-augment是无中生有啊
- 感觉 一条一条的 细致认真的人工标注 是无法替代的 HOT 4
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 paper-to-read.