# Bard (Google) Bard is based on PaLM 2, a large language model (LLM) developed by Google AI. Bard is a newer LLM that was announced at Google I/O 2023 and is the successor to PaLM, which was released in 2022. Bard has has been fine-tuned for specific tasks, such as generating creative text formats, like poems, software code, scripts, musical pieces, email, letters, etc., and answering your questions in an informative way, even if they are open ended, challenging, or strange. The term 'Bard' Stands for “Poet”. Bard is an Acronym for “Language Model for Dialogue Applications”. This acronym encapsulates the underlying technology and purpose of Bard, emphasizing its ability to engage in meaningful and contextually relevant dialogues. Ultimately, the name "Bard" is a reflection of Google's vision for this AI chatbot: a creative and intelligent language model that can engage in meaningful conversations with humans. PaLM 2 is trained on a dataset of over 540 billion words, which is more than twice the size of the dataset used to train PaLM. Bard is able to generate text in over 100 languages, while PaLM was only able to generate text in 26 languages. PaLM 2 has better performance on a variety of tasks, including natural language inference, code generation, and question answering. Overall, Bard is a powerful language model that is capable of a wide range of tasks. It is still under development, but it has the potential to be a valuable tool for a variety of applications. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://metaverse-imagen.gitbook.io/ai-tools-research/ai-technology/generative-ai-architectures-and-models/generative-ai-and-llms-for-text/bard-google.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.