The Wait for LaMDA is Almost Over

Google will release LamDA in small batches, work on feedback to make it better, before making it public.

Design by Google CEO Sundar Pichai speaks during the Google I/O 2019 keynote session at Shoreline Amphitheatre in Mountain View, California on May 7, 2019. (Photo by Josh Edelson / AFP) (Photo by JOSH EDELSON/AFP via Getty Images)

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Amid the ChatGPT craze, Google has silently released a waitlist for its conversational chatbot, LaMDA, via AI Test Kitchen

Sign up for the waitlist here. 

Google will release LaMDA to small groups of people in batches, test the app, and work on feedback to make it better, before making it available to the general public. But it doesn’t support workspace accounts on the waitlist. 

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LaMDA (Language Model for Dialog Applications)is built by fine-tuning Transformer-based neural language models specialized for dialogue, with 137B model parameters.

Since LaMDA was trained on human dialogue and stories rather than text, it is different from other language models and can converse informally in open-ended conversations.

Google’s Slow & Steady Moves

Google is a much bigger company than OpenAI in terms of size and experience. LLMs always come with problems of toxicity, bias, safety, incorrect responses, among so on. 

The much-acclaimed ChatGPT is also being bashed for the same. So, Google is cautious of the ‘reputational risk’ that can come with launching a chatbot with errors.

In the Google I/O event of 2022, CEO Sundar Pichai said that “While we have improved safety, the model [LaMDA] might still generate inaccurate, inappropriate, or offensive responses. That’s why we are inviting feedback in the app [AI Test Kitchen], so people can help report problems”.

Google introduced AI Test Kitchen in the same event to allow feedback from people than can be used to rectify LaMDA. 

Read: ChatGPT Vs LaMDA

Shritama Saha
Shritama Saha is a technology journalist who is keen to learn about AI and analytics play. A graduate in mass communication, she is passionate to explore the influence of data science on fashion, drug development, films, and art.

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