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Description
Chinchilla is an advanced language model that operates with a compute budget comparable to Gopher while having 70 billion parameters and utilizing four times the amount of data. This model consistently and significantly surpasses Gopher (280 billion parameters), as well as GPT-3 (175 billion), Jurassic-1 (178 billion), and Megatron-Turing NLG (530 billion), across a wide variety of evaluation tasks. Additionally, Chinchilla's design allows it to use significantly less computational power during the fine-tuning and inference processes, which greatly enhances its applicability in real-world scenarios. Notably, Chinchilla achieves a remarkable average accuracy of 67.5% on the MMLU benchmark, marking over a 7% enhancement compared to Gopher, showcasing its superior performance in the field. This impressive capability positions Chinchilla as a leading contender in the realm of language models.
Description
FLAN-T5, introduced in the paper titled "Scaling Instruction-Finetuned Language Models," represents an improved iteration of T5 that has undergone fine-tuning across a diverse range of tasks, thereby enhancing its capabilities. This advancement allows it to better understand and respond to various instructional prompts.
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Free
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Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
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Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
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Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Google DeepMind
Country
United States
Website
arxiv.org/abs/2203.15556
Vendor Details
Company Name
Founded
1998
Country
United States
Website
huggingface.co/docs/transformers/model_doc/flan-t5