You're referring to large AI models!

Here are some popular large AI models, often referred to as AI giants or foundation models:

1、BERT (Bidirectional Encoder Representations from Transformers): Developed by Google, BERT is a pretrained language model that has achieved stateoftheart results in various natural language processing (NLP) tasks.
2、RoBERTa (Robustly Optimized BERT Pretraining Approach): Also developed by Facebook AI, RoBERTa is a variant of BERT that has been optimized for better performance on a wide range of NLP tasks.
3、TransformersXL: This is a series of large language models developed by Google, including TransformerXL, TransformerXXL, and others、These models are known for their exceptional performance on longrange dependency tasks.
4、MegatronLM: Developed by NVIDIA and Microsoft, MegatronLM is a large language model with 8.3 billion parameters, making it one of the largest models ever trained.
5、JuraBERT: This is a large French language model developed by Google and the University of Montreal, with 330 million parameters.
6、ERNIE (Enhanced Representation through kNowledge Integration): Developed by Baidu, ERNIE is a large language model that integrates knowledge graphs and has achieved stateoftheart results on various NLP tasks.
7、ALBERT (A Lite BERT for SelfSupervised Learning of Language Representations): Developed by Google, ALBERT is a large language model that is designed to be more efficient and scalable than BERT.

These large AI models have many applications, including:

* Language translation
* Text summarization
* Sentiment analysis
* Question answering
* Chatbots and conversational AI
* Content generation

These models are often used as a starting point for further finetuning and adaptation to specific tasks and domains.

Do you have a specific question about these models or their applications?