FLAN-T5 LLM
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T5 stands for “Text-To-Text Transfer Transformer” . It is a model developed by Google Research that converts every language problem into a text-to-text format. T5 is an encoder-decoder model pre-trained on a multi-task mixture of unsupervised and supervised tasks and for which each task is converted into a text-to-text format. It was presented in a paper by Google called "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer". T5 works well on a variety of tasks out-of-the-box by prepending a different prefix to the input corresponding to each task. Large Language Model (LLM) are AI models that have been trained on large amounts of text data and can generate human-like text. - T5 | Hugging Face
FLAN-T5 is an improved version of T5 with some architectural tweaks. FLAN stands for “Fine-tuned LAnguage Net”. It was developed by Google Research and is pre-trained on C4 only without mixing in the supervised tasks. FLAN-T5 is designed to be highly customizable, allowing developers to fine-tune it to meet their specific needs. This means that developers can adjust the model’s parameters and architecture to better fit the data and task at hand. This can result in improved performance and accuracy on specific tasks. For example, a developer could fine-tune FLAN-T5 on a specific dataset to improve its performance on a particular language translation task. This flexibility makes FLAN-T5 a powerful tool for Natural Language Processing (NLP) tasks.
FLAN-T5-XL ... FLAN-T5-XXL is 11b | Hugging Face