jasonwu0731/ToD-BERT
Pre-Trained Models for ToD-BERT
This project helps improve how well AI systems understand and respond in everyday conversations with users, like those in customer support chatbots or virtual assistants. It takes raw text from human-AI dialogues as input and produces a more accurate interpretation of user intentions, conversation topics, and appropriate system responses. This is primarily for AI developers or researchers building sophisticated conversational AI agents.
294 stars. No commits in the last 6 months.
Use this if you are developing AI chatbots or virtual assistants and need to improve their ability to understand natural language in multi-turn, task-oriented conversations, especially when you have limited training data.
Not ideal if you are working with general-purpose text analysis outside of a conversational AI context or if you are not familiar with machine learning model development.
Stars
294
Forks
55
Language
Python
License
BSD-2-Clause
Category
Last pushed
Jul 17, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/jasonwu0731/ToD-BERT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
codertimo/BERT-pytorch
Google AI 2018 BERT pytorch implementation
JayYip/m3tl
BERT for Multitask Learning
920232796/bert_seq2seq
pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。
sileod/tasknet
Easy modernBERT fine-tuning and multi-task learning
graykode/toeicbert
TOEIC(Test of English for International Communication) solving using pytorch-pretrained-BERT model.