Breaking News: Google's Bard AI has been launched in 180 countrie - Engineer Simple

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Breaking News: Google's Bard AI has been launched in 180 countrie

Key Takeaway

  • Google launched Bard AI on May 11, 2023.
  • Google's Bird AI has been launched in 180 countries.
  • Bard is still under development, but it has the potential to be a powerful tool for people who want to learn new things, be more creative, or simply have a conversation with a friendly AI.


Google Bard is a conversational generative artificial intelligence chatbot developed by Google, based on the LaMDA family of large language models. It was developed as a direct response to the rise of OpenAI’s ChatGPT, and was released in a limited capacity in March 2023 to lukewarm responses, before expanding to other countries on 10th May. Bard uses Google’s latest language model, PaLM 2, to generate natural and engaging dialogues with user

You can try it at

Google's Bard AI has been launched in 180 countries

How does Bard compare to ChatGPT?

Bard and ChatGPT are both generative AI chatbots that use large language models to produce natural-sounding responses to user queries and prompts. However, they have some major differences in their capabilities and features. Here are some of them:

Coding: ChatGPT can create and debug complex code, while Bard is still learning code and cannot perform this task yet.

Conversation Retention: ChatGPT can remember up to 3,000 words from previous conversations, but it does not use them to form responses. Bard has limited context retention for now, but it will improve over time.

Responses: Bard can draw responses from the internet in real time, so it always has the latest information. ChatGPT is trained on a fixed set of data that hasn’t been updated since 2021.

Speed: Bard is giving very fast result than ChatGPT.

Generating Results: Bard can’t give an accurate result for any prompts, but ChatGPT can generate the most accurate results or answers for most prompts.

These are some of the main differences between Bard and ChatGPT. They both have their strengths and weaknesses, and they are constantly evolving as Google and OpenAI improve them.

Related FAQs

What is LaMDA?

LaMDA is a family of conversational large language models developed by Google. It stands for Language Model for Dialogue Applications. It is based on the Transformer architecture, a neural network that can read and generate natural language. LaMDA was trained on human dialogue and stories, allowing it to engage in open-ended conversations about a variety of topics. LaMDA also has access to multiple symbolic text processing systems, such as a database, a calculator, and a translator, giving it superior accuracy in tasks supported by those systems. It is the technology behind Bard, Google’s AI chatbot that competes with OpenAI’s ChatGPT.

Why did Google develop LaMDA?

Google developed LaMDA to improve the quality and naturalness of conversational agents, such as chatbots and virtual assistants. Google wanted to create a system that could engage in open-ended conversations about any topic, without following pre-defined paths or scripts. It also wanted to leverage its large language models, such as BERT and Transformer, to train LaMDA on dialogue and stories. Google believes that LaMDA could unlock more natural ways of interacting with technology and entirely new categories of helpful applications.

What are some other examples of applications that use LaMDA?

Some other examples of applications that use LaMDA are:

Google Assistant: Google’s virtual assistant that can help users with various tasks, such as setting reminders, playing music, and controlling smart devices. Google Assistant can use LaMDA to have more natural and engaging conversations with users.

Google Search: Google’s web search engine that can answer queries and provide relevant information. Google Search can use this technology to generate more specific and interesting responses, such as summaries of news articles or stories.

Dialogue-based applications: That can provide information or assistance to users through natural conversations, such as chatbots, voice assistants, or interactive games.

Content creation: LaMDA can generate engaging and coherent texts, such as stories, poems, or summaries, based on user inputs or preferences.

Knowledge discovery: That can help users explore and learn about any topic through open-ended questions and answers.

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