2024 Google Bard Statistics
- Google lost $120bn in valuation due to a wrong answer given by its AI chatbot Bard, during a live event, leading to a 7% drop in stocks.
- After realizing the factual error, Google took down the video from YouTube.
- The 2022 LaMDA research paper reveals that 12.5% of the public dataset and 12.5% of the Wikipedia data were used to train the language model.
- LaMDA’s dataset includes public dialog data and web text, comprising 50% data from public forums, 12.5% English dataset, 6.25% non-English dataset, 6.25% English web documents, 12.5% C4-based data, and 12.5% code form Q&A, tutorials, and programming websites.
- 32% of text data in the pre-training dataset was Hispanic-aligned web pages, and 42% was African American-aligned, but the blocklist filter removed it.
- LaMDA’s dataset includes public dialog data and web text, comprising 50% data from public forums, 12.5% English dataset, 6.25% non-English dataset, 6.25% English web documents, 12.5% C4-based data, and 12.5% code form Q&A, tutorials, and programming websites.
- Upon its full rollout, Google Bard is expected to reach one billion users within the first two months.
- LaMDA’s language model was trained on a total dataset of 1.56 trillion words.
- 50% of LaMDA‘s training data comes from public forums.
- The pre-training text data used to train the AI chatbot is about 750GB.
- Only 5% of LaMDA’s dataset comes from named sources such as C4 and Wikipedia, while the remaining 75% of words were scraped from the internet.
- 51.3% of the web pages from the C4 dataset used to train LaMDA were hosted in the USA.
Key Google Bard Stats
LaMDA, Google’s latest innovation in AI language models, has been making headlines for its groundbreaking capabilities. But have you ever wondered about the data behind the technology? Let’s delve into these fascinating Google bard statistics that have shaped LaMDA’s development, from the extensive training data it used to the impact of a chatbot’s mistake on Google’s stock market. Join us on this journey to uncover the secrets of LaMDA and its groundbreaking approach to language processing.
More Google Bard Facts
- Bard is a large language model, also known as a conversational AI or chatbot trained to be informative and comprehensive.
- It is trained on a massive amount of text data, and is able to communicate and generate human-like text in response to a wide range of prompts and questions.
- For example, Bard can provide summaries of factual topics or create stories.
- Bard is still under development, but it has learned to perform many kinds of tasks, including
- I will try my best to follow your instructions and complete your requests thoughtfully.
- I will use my knowledge to answer your questions in a comprehensive and informative way, even if they are open ended, challenging, or strange.
- I will generate different creative text formats of text content, like poems, code, scripts, musical pieces, email, letters, etc. I will try my best to fulfill all your requirements.
- Bard is still under development, and Google is working to improve its capabilities.
- Bard is not a person, and it does not have its own opinions or beliefs.
- Bard is a tool that can be used for a variety of purposes, including education, organic SEO specialist research, entertainment, and research.
- Bard is not a replacement for human interaction, and it is important to use it responsibly.
- Bard is a powerful tool that has the potential to change the way we interact with computers.
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