Gemini Advanced vs. Google GPT: A Comparative Study for Translating the Philippine Patriotic Oath and Other Google-Domain-Driven AI Tasks
I found that it does some of those things well, but not all of them. Its competitor is Chat GPT. Plus, manages to generate less horrifying photos thanks to its DALL-E 3 integration. Gemini Advanced is better at giving users information about current events and businesses they might be interested in, as well as giving better information about businesses people look for. The paid Gemini is often better at doing these kinds of “Google tasks” than generative AI ones.
There is still a lot of work that needs to be done to get the results people want from these chatbots, and people need to keep using them for the bots to learn how to best respond to questions. Here are some tests I ran to see how they held up.
Eerily, perhaps due to the specificity of the prompt, both chatbots returned very similar generated images. The dog photo of Gemini Ultra was met with minor horror by other staff members. Its dog has two tongues and an extra limb. It overemphasized the fur’s texture, so it just looks… wrong. I don’t know if a dog like that would still be happy in the daisies. ChatGPT, meanwhile, calls on DALL-E 3 to generate its images. Its dog doesn’t elicit body horror, but you still see it’s a digital photo.
Google said Gemini Ultra was made to handle “highly complex tasks,” so I asked Gemini Advanced what these tasks were. The chatbot answered, “Translation.” So I asked Gemini Advanced to translate the first few lines of the Philippine Patriotic Oath. It is a fairly obscure oath, especially since the version I know has been changed several times in the past 20 years.
While it’s trained to respond in a few languages, it was unable to help me with my request. I asked which languages it supports, but the chatbot refused to answer, saying it can’t give me a definitive list of languages it can understand. I asked if it knows a thing or two about Filipino, and it said yes. 40 Gemini supports 40 languages, but Filipino is not on the list.
When it tapped into other products, they worked in its favor. It returned a rundown of several Filipino and Ethiopian restaurants in New York City, attaching Google Maps coordinates for each.
I asked the guy a few days ago. Plus for restaurant recommendations — not for this test, I was just looking for new restaurants — and the results were inaccurate. The names of the restaurants were correct — these were establishments that do exist — however, none of the locations were right. I said I would ask the person who asked. Plus for this test and got much more accurate locations but a smaller list of restaurants. So in this case, Gemini clearly worked better for this request.
The main reason that I would use a chatbot is to summarize my papers. I read Apple’s recent paper on artificial intelligence image editing. I figured it wouldn’t be a problem for the author to give me the full story since the first time I read it, I had a throbbing head. I wanted to see how it strings the two different instructions so that I could fully test out its new abilities. One was asking to summarize; the other is to make it generate text.
The summary was good. It did give me a synopsis of the concepts that were discussed in the paragraphs, but it didn’t translate into plain language. I probably should’ve prompted that. I was able to get the article I wanted, and you know what? Those 150 words explained things so much better than the summary I asked for.
Source: Gemini Advanced is most impressive when it’s working with Google
The Context Window for Lord of The Rings: When Google Decides to Give Up On Its Future, And How It Will Impact Business and Consumers
It is difficult for users to use a chat bot because they need a search engine, a creation tool, and an assistant all at once. That’s especially true for a chatbot coming from Google, which is increasingly counting on AI to supplement its search engine, its voice assistant, and just about every productivity tool in its arsenal.
Barely two months after launching Gemini, the large language model Google hopes will bring it to the top of the AI industry, the company is already announcing its successor. A full consumer release of Gemini 1.5 is planned for later this year and will be made available to developers and enterprise users today. The company has made clear that it is all in on Gemini as a business tool, a personal assistant, and everything in between, and it’s pushing hard on that plan.
As he’s explaining this to me, Pichai notes offhandedly that you can fit the entire Lord of The Rings trilogy into that context window. I ask him if this has already happened, since it seems too specific. Someone in Google is just checking to see if Gemini spots any continuity errors, trying to understand the complicated lineage of Middle-earth, and seeing if maybe AI can finally make sense of Tom Bombadil. Pichai laughs at the thought that it has happened or will happen, one of the two.
The larger context window is going to be very useful for businesses. This allows use cases where you can add a lot of personal context and information while the query is being asked. Think of it as we have expanded the query window. He imagines filmmakers might upload their entire movie and ask Gemini what reviewers might say; he sees companies using Gemini to look over masses of financial records. “I view it as one of the bigger breakthroughs we have done,” he says.
Eventually, Pichai tells me, all these 1.0s and 1.5s and Pros and Ultras and corporate battles won’t really matter to users. “People will just be consuming the experiences,” he says. “It’s like using a smartphone without always paying attention to the processor underneath.” He says that we are in the phase where everyone knows the chip in their phone is important. “The underlying technology is shifting so fast,” he says. “People do care.”