![]() ![]() ![]() CISC designs, and MMX technology that would not have seemed out of place in many an Ars forum discussion from the era. The new answer includes casual mentions of AltiVec instructions, RISC vs. The new Gemini-powered Bard definitely "improves" on the old Bard answer, at least in terms of throwing in a lot more jargon. At this point, they also show just how much progress text-based AI models have made in a relatively short time. While these tests are far from comprehensive, we think they provide a good benchmark for judging how these AI assistants perform in the kind of tasks average users might engage in every day. We also looked at the April results generated by the pre-Gemini Bard model to gauge how much progress Google’s efforts have made in recent months. This time around, we decided to compare the new Gemini-powered Bard to both ChatGPT-3.5-for an apples-to-apples comparison of both companies’ current “free" AI assistant products-and ChatGPT-4 Turbo-for a look at OpenAI’s current “top of the line" waitlisted paid subscription product (Google’s top-level “Gemini Ultra" model won’t be publicly available until next year). That's especially true since Google's promotional materials emphasize that Gemini Ultra beats GPT-4 in "30 of the 32 widely used academic benchmarks" (though the more limited “Gemini Pro" currently powering Bard fares significantly worse in those not-completely-foolproof benchmark tests). Further Reading Google launches Gemini-a powerful AI model it says can surpass GPT-4Now, the AI days are a bit less “early," and this week's launch of a new version of Bard powered by Google's new Gemini language model seemed like a good excuse to revisit that chatbot battle with the same set of carefully designed prompts.
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