Audience

AI developers

About ERNIE 3.0 Titan

Pre-trained language models have achieved state-of-the-art results in various Natural Language Processing (NLP) tasks. GPT-3 has shown that scaling up pre-trained language models can further exploit their enormous potential. A unified framework named ERNIE 3.0 was recently proposed for pre-training large-scale knowledge enhanced models and trained a model with 10 billion parameters. ERNIE 3.0 outperformed the state-of-the-art models on various NLP tasks. In order to explore the performance of scaling up ERNIE 3.0, we train a hundred-billion-parameter model called ERNIE 3.0 Titan with up to 260 billion parameters on the PaddlePaddle platform. Furthermore, We design a self-supervised adversarial loss and a controllable language modeling loss to make ERNIE 3.0 Titan generate credible and controllable texts.

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Company Information

Baidu
Founded: 2000
China
research.baidu.com/Public/uploads/61c4362c79ee8.pdf

Videos and Screen Captures

ERNIE 3.0 Titan Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation

ERNIE 3.0 Titan Frequently Asked Questions

Q: What kinds of users and organization types does ERNIE 3.0 Titan work with?
Q: What languages does ERNIE 3.0 Titan support in their product?
Q: What type of training does ERNIE 3.0 Titan provide?

ERNIE 3.0 Titan Product Features