Bard (Google Bard)

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What is Google Bard?

What is Google Bard?

Google Bard was a conversational AI chatbot using machine learning (ML), natural language processing (NLP), and generative AI to understand user prompts and provide text responses. Unlike ChatGPT, Bard could access the Internet and include information scraped from recently published content in responses.


Bard was initially trained with a large language model (LLM) called Google LaMDA. In May 2023, Bard was re-trained with a new LLM called Pathways Language Model 2 (PaLM 2). According to Google, PaLM 2 can process information up to 500 times faster than LaMDA and is up to 10 times more accurate.

Gemini replaced PaLM 2 in December 2023, and in February 2024, Google announced that from now on, Bard will be called Gemini.

Training Data

Bard with LaMDA: 137 billion parameters

Bard with PaLM 2: 1.3 trillion parameters

Training Algorithm

Bard with LaMDA: Transformer-XL

Bard with PaLM 2: Pathways

Internet Access

Bard with LaMDA: No

Bard with PaLM 2: Yes

What Could Google Bard Do?

Here are some examples of what Google Bard trained with PaLM 2 could do:

  • Understand and respond to prompts in English, Japanese, and Korean.
  • Answer questions in detail.
  • Retain context for a limited number of prompts and/or a limited amount of time.
  • Generate original text in multiple text formats.
  • Generate text in different writing styles.
  • Rephrase or summarize a long text prompt.
  • Follow a URL in a prompt and summarize the content on a web page.
  • Generate charts from detailed text prompts.
  • Generate code in Python, Java, and C++.
  • Generate Hypertext Markup Language (HTML).


Can I access Bard Google?

Is Google Bard better than ChatGPT?

What happened with Google Bard?


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Margaret Rouse
Senior Editor
Margaret Rouse
Senior Editor

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.