Flan

In computer science, Flan refers to a series of natural language processing models developed by Google, primarily as part of their research into large language models. Flan models are designed to improve performance on various tasks by employing techniques such as instruction tuning, which involves training the model on a diverse set of tasks with explicit instructions. This approach aims to enhance the model's ability to generalize from the provided examples and respond correctly to prompts in a wide array of contexts, thus making them more effective in understanding and generating human-like text. The Flan models are part of ongoing efforts to advance the capabilities of AI in processing and understanding natural language.