Google launches Gemini, the AI model it hopes will take down GPT-4::Gemini is a new large language model that will work across Google products, including search, ads, and Bard. Google says it matches and even bests OpenAI’s GPT-4 model.
I google “chatgpt” first link gives me page where I can use chatgpt
I google “gemini” cant find anything
I google “gemini chatgpt” i find only articles discussing the two
I google “gemini ai”, “google gemini”, “google ai” i find no pages where I can use it but lots of pages about how great it is
think I’ll just stick to chatgpt ok thanks
Pretty sure the post is misleading. I asked Bard about it and it seems it’s still running on the LaMDA model— Gemini Pro is only available for certain beta testers for text-based prompts at this time.
There’s a wider release on December 13, but it’s unclear to me if it’s too a wider audience or a wider set of tools for the limited audience.
This is the best summary I could come up with:
Gemini is Google’s latest large language model, which Pichai first teased at the I/O developer conference in June and is now launching to the public.
There’s a beefier version called Gemini Pro that will soon power lots of Google AI services and is the backbone of Bard starting today.
And there’s an even more capable model called Gemini Ultra that is the most powerful LLM Google has yet created and seems to be mostly designed for data centers and enterprise applications.
Now, Google — the company that created much of the foundational technology behind the current AI boom, that has called itself an “AI-first” organization for nearly a decade, and that was clearly and embarrassingly caught off guard by how good ChatGPT was and how fast OpenAI’s tech has taken over the industry — is finally ready to fight back.
Google, which declared a “code red” after ChatGPT’s launch and has been perceived to be playing catch-up ever since, seems to be still trying to hold fast to its “bold and responsible” mantra.
Pichai points out that ensuring data security and reliability is particularly important for enterprise-first products, which is where most generative AI makes its money.
The original article contains 1,280 words, the summary contains 196 words. Saved 85%. I’m a bot and I’m open source!
