Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Vertex AI Reviews & Ratings
    673 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    3 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    4 Ratings
    Company Website
  • PackageX OCR Scanning Reviews & Ratings
    43 Ratings
    Company Website
  • Windsurf Editor Reviews & Ratings
    76 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    1,730 Ratings
    Company Website
  • OORT DataHub Reviews & Ratings
    13 Ratings
    Company Website
  • RealEstateAPI (REAPI) Reviews & Ratings
    25 Ratings
    Company Website
  • SpamTitan Reviews & Ratings
    812 Ratings
    Company Website
  • Nexo Reviews & Ratings
    15,878 Ratings
    Company Website

What is ERNIE 3.0 Titan?

Pre-trained language models have advanced significantly, demonstrating exceptional performance in various Natural Language Processing (NLP) tasks. The remarkable features of GPT-3 illustrate that scaling these models can lead to the discovery of their immense capabilities. Recently, the introduction of a comprehensive framework called ERNIE 3.0 has allowed for the pre-training of large-scale models infused with knowledge, resulting in a model with an impressive 10 billion parameters. This version of ERNIE 3.0 has outperformed many leading models across numerous NLP challenges. In our pursuit of exploring the impact of scaling, we have created an even larger model named ERNIE 3.0 Titan, which boasts up to 260 billion parameters and is developed on the PaddlePaddle framework. Moreover, we have incorporated a self-supervised adversarial loss coupled with a controllable language modeling loss, which empowers ERNIE 3.0 Titan to generate text that is both accurate and adaptable, thus extending the limits of what these models can achieve. This innovative methodology not only improves the model's overall performance but also paves the way for new research opportunities in the fields of text generation and fine-tuning control. As the landscape of NLP continues to evolve, the advancements in these models promise to drive further breakthroughs in understanding and generating human language.

What is Cerebras-GPT?

Developing advanced language models poses considerable hurdles, requiring immense computational power, sophisticated distributed computing methods, and a deep understanding of machine learning. As a result, only a select few organizations undertake the complex endeavor of creating large language models (LLMs) independently. Additionally, many entities equipped with the requisite expertise and resources have started to limit the accessibility of their discoveries, reflecting a significant change from the more open practices observed in recent months. At Cerebras, we prioritize the importance of open access to leading-edge models, which is why we proudly introduce Cerebras-GPT to the open-source community. This initiative features a lineup of seven GPT models, with parameter sizes varying from 111 million to 13 billion. By employing the Chinchilla training formula, these models achieve remarkable accuracy while maintaining computational efficiency. Importantly, Cerebras-GPT is designed to offer faster training times, lower costs, and reduced energy use compared to any other model currently available to the public. Through the release of these models, we aspire to encourage further innovation and foster collaborative efforts within the machine learning community, ultimately pushing the boundaries of what is possible in this rapidly evolving field.

Media

Media

Integrations Supported

ERNIE Bot

Integrations Supported

ERNIE Bot

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Baidu

Date Founded

2000

Company Location

China

Company Website

research.baidu.com/Public/uploads/61c4362c79ee8.pdf

Company Facts

Organization Name

Cerebras

Date Founded

2015

Company Location

United States

Company Website

cerebras.ai/ai-model-services/

Categories and Features

Categories and Features

Popular Alternatives

PanGu-α Reviews & Ratings

PanGu-α

Huawei

Popular Alternatives

Stable LM Reviews & Ratings

Stable LM

Stability AI
Phi-2 Reviews & Ratings

Phi-2

Microsoft
Llama 2 Reviews & Ratings

Llama 2

Meta
DeepSeek-V2 Reviews & Ratings

DeepSeek-V2

DeepSeek
OpenELM Reviews & Ratings

OpenELM

Apple
CodeGemma Reviews & Ratings

CodeGemma

Google
OPT Reviews & Ratings

OPT

Meta