List of some large language models (LLMs) a

[megri]

Here's a list of some large language models (LLMs) and their sizes:

• Megatron-Turing NLG (530B parameters) - Developed by Google AI, it is one of the largest LLMs currently available.
• WuDao 2.0 (1.75T parameters) - Developed by BAAI (Beijing Academy of Artificial Intelligence), it is the world's largest publicly known LLM.
• Jur***ic-1 Jumbo (178B parameters) - Developed by AI21 Labs, it is a commercially available LLM.
• GShard-ShardingSwitch (6144B parameters) - Developed by Google AI, it is an experimental LLM that uses a novel sharding technique to train on a m***ive dataset.
• Switch Transformer (1.5T parameters) - Developed by Google AI, it is an LLM that uses a novel switch architecture to improve efficiency.
• PaLM 540B (540B parameters) - Developed by Google AI, it is a LLM that is trained on a m***ive dataset of text and code.
• BLOOM (176B parameters) - An open-source LLM developed by Hugging Face and a consortium of companies and organizations.
• WuDao 1.0 (1.75T parameters) - Developed by BAAI (Beijing Academy of Artificial Intelligence), it was one of the largest LLMs when it was released.
• T5-XXL (11B parameters) - A large LLM developed by Google AI, it is a versatile model that can be fine-tuned for a variety of tasks.
• Jur***ic-1 Grande (137B parameters) - Developed by AI21 Labs, it is a commercially available LLM.

[Anjali Kumari]

Here are some of the large language models (LLMs) as of my last update:

1. GPT-3 (Generative Pre-trained Transformer 3) by OpenAI
2. BERT (Bidirectional Encoder Representations from Transformers) by Google
3. T5 (Text-To-Text Transfer Transformer) by Google
4. XLNet by Google/CMU
5. RoBERTa (Robustly Optimized BERT Approach) by Facebook AI
6. ELECTRA (Efficiently Learning an Encoder that Cl***ifies Token Replacements Accurately) by Google
7. GPT-2 (Generative Pre-trained Transformer 2) by OpenAI
8. T-NLG (Text-to-Text Neural Language Generation) by Microsoft
9. CTRL (Conditional Transformer Language Model) by Salesforce
10. MarianMT (Multilingual Transformer) by Microsoft

[lisajohn]

Sure, here are some of the prominent large language models (LLMs) as of my last update:

1. GPT (Generative Pre-trained Transformer) series by OpenAI:
   • GPT-1
   • GPT-2
   • GPT-3
2. BERT (Bidirectional Encoder Representations from Transformers) by Google.
3. XLNet by Google/CMU.
4. RoBERTa (Robustly optimized BERT approach) by Facebook AI.
5. T5 (Text-To-Text Transfer Transformer) by Google.
6. ELECTRA by Google.
7. CTRL (Conditional Transformer Language Model) by Salesforce.
8. BART (Bidirectional and Auto-Regressive Transformers) by Facebook AI.
9. Turing-NLG by Microsoft.
10. ALBERT (A Lite BERT) by Google/Toyota Tech.
11. DistilBERT by Hugging Face.
12. CamemBERT by Inria/Facebook AI.
13. Megatron by Nvidia.
14. ProphetNet by Microsoft.
15. ERNIE (Enhanced Representation through kNowledge Integration) by Baidu.