{"id":25947,"date":"2026-03-11T12:09:10","date_gmt":"2026-03-11T12:09:10","guid":{"rendered":"https:\/\/1cliqueconsultancy.com\/?p=25947"},"modified":"2026-03-11T15:04:16","modified_gmt":"2026-03-11T15:04:16","slug":"ai-chatbot-bard-3","status":"publish","type":"post","link":"https:\/\/1cliqueconsultancy.com\/index.php\/2026\/03\/11\/ai-chatbot-bard-3\/","title":{"rendered":"ai chatbot bard 3"},"content":{"rendered":"

Google Gemini Cheat Sheet Formerly Google Bard: What Is Google Gemini, and How Does It Work? <\/p>\n

From ChatGPT to Gemini: how AI is rewriting the internet Page 13<\/h1>\n

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Similarly, if you\u2019re an experienced coder and your main need is coding, definitely check out Gemini (but also take a look at Microsoft\u2019s Co-Pilot). Let\u2019s call this one a draw, with Gemini being better when it comes to formulating answers from online text and ChatGPT being better at no-internet queries. When it comes to intelligently parsing the information it\u2019s been trained on in order to formulate a response, ChatGPT still comes out as the winner. From a technical perspective, the power of LLM models is often measured by the number of parameters (trainable values) within the neural network. It\u2019s been reported that GPT-4\u2019s networks contain around a trillion parameters, but no solid facts are known about the number of parameters used by Gemini. Bard \u2013 now renamed Gemini\u2013was released in early 2023 following OpenAI\u2019s groundbreaking LLM-powered chat interface.<\/p>\n