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With reference to the LaMDA (language model for dialogue applications, consider the following statements:
1. LaMDA is Google's modern conversational agent enabled with a neural network capable of deep learning.
2. The algorithm is trained using 1.56 trillion words of public dialogue data and web text on diverse topics.
Which of the statements given above is/are correct?
  • a)
    1 only
  • b)
    2 only
  • c)
    Both 1 and 2
  • d)
    Neither 1 nor 2
Correct answer is option 'C'. Can you explain this answer?
Most Upvoted Answer
With reference to the LaMDA(language model for dialogue applications, ...
LaMDA is Google's modern conversational agent enabled with a neural network capable of deep learning.
The algorithm is trained using 1.56 trillion words of public dialogue data and web text on diverse topics.
The chatbot is not yet public, but users are permitted to interact with it.
Google claims that LaMDA can make sense of nuanced conversation and engage in a fluid and natural conversation.
Hence both statements are correct.
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Community Answer
With reference to the LaMDA(language model for dialogue applications, ...
LaMDA: A Language Model for Dialogue Applications

Statement 1: LaMDA is Google's modern conversational agent enabled with a neural network capable of deep learning.
The first statement is correct. LaMDA (Language Model for Dialogue Applications) is indeed Google's modern conversational agent, developed to improve natural language understanding and generation. It is powered by a neural network that enables it to perform deep learning. The model is designed to engage in more natural and dynamic conversations with users, providing more accurate and meaningful responses.

Statement 2: The algorithm is trained using 1.56 trillion words of public dialogue data and web text on diverse topics.
The second statement is also correct. LaMDA has been trained on a vast amount of data to ensure its ability to understand and generate dialogue across various topics. Google trained the algorithm using 1.56 trillion words of public dialogue data and web text. This extensive training allows LaMDA to have a broad knowledge base and be capable of engaging in conversations about diverse subjects.

Conclusion:
Both statements are correct. LaMDA is Google's modern conversational agent that utilizes a neural network for deep learning. It has been trained on a massive dataset comprising 1.56 trillion words of public dialogue data and web text, enabling it to handle a wide range of topics and provide more accurate and meaningful responses.
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With reference to the LaMDA(language model for dialogue applications, consider the following statements:1. LaMDA is Googles modern conversational agent enabled with a neural network capable of deep learning.2. The algorithm is trained using 1.56 trillion words of public dialogue data and web text on diverse topics.Which of the statements given above is/are correct?a)1 onlyb)2 onlyc)Both 1 and 2d)Neither 1 nor 2Correct answer is option 'C'. Can you explain this answer?
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