In ZDNET's experience, Bard also failed to answer basic questions, had a longer wait time, didn't automatically include sources, and paled in comparison to more established competitors. The actual performance of the chatbot also led to much negative feedback.Īlso: I tested Google Bard. "This highlights the importance of a rigorous testing process, something that we're kicking off this week with our Trusted Tester program," a Google spokesperson told ZDNET. Gemini, then known as Google's Bard, had a rough launch, with a demo of Bard delivering inaccurate information about the James Webb Space Telescope (JWST).Īt launch, Google tweeted a demo of the AI chat service in which the prompt read, "What new discoveries from the James Webb Space Telescope can I tell my 9-year-old about?" Bard replied: "JWST took the very first pictures of a planet outside of our own solar system." People quickly noticed that the output response was factually incorrect. Google's decision to use its own LLMs - LaMDA, PaLM 2, and Gemini - was a bold one because some of the most popular AI chatbots right now, including ChatGPT and Copilot, use a language model in the GPT series.
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Specifically, Gemini uses a fine-tuned version of Gemini Pro for English. Yes, the AI chatbot and its underlying LLM have the same name. Then, in December 2023, Google upgraded Gemini again, this time to Gemini, the company's most capable and advanced LLM to date. PaLM 2 - a more advanced version of PaLM that was released in April 2022 - allowed Gemini to be much more efficient and perform at a higher level than its original model. That chatbot's performance left many users unimpressed as a result, Google quickly pivoted, upgrading the chatbot to PaLM 2, which was unveiled at Google I/O 2023. Interestingly, GPT-3, the language model ChatGPT functions on, was also built on Transformer, according to Google. LaMDA was built on Transformer, Google's neural network architecture that the company invented and open-sourced in 2017. Initially, Gemini, known as Bard at the time, used a lightweight model version of LaMDA that required less computing power and could be scaled to more users. Gemini has undergone several large language model (LLM) upgrades since it launched. If you see inaccuracies in our content, please report the mistake via this form. If we have made an error or published misleading information, we will correct or clarify the article.
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