Google Bard: Is It Better Than ChatGPT?

Dear fellow scholars, this is Two Minute Papers with Dr. Zsolnai. Dr. Papers Today we are living the age of AI chat assistants. That is not by accident. These assistants are incredible and with browsing support they can find deals for us if we wish to buy a pair of headphones, play text based games with us that we can make up on the fly. They are excellent at coding and and can even pass the bar exam. Now I have heard some folks saying that Google is so far behind on this and today you will see that this is not the case at all. Google is coming with guns blazing. Here is an incredible demo of Bard, their chatgpt like large language model assistant. So what can it do? Is it as good as ChatGPT? Lets see together it can for instance code up chess moves in Python, although it's Python, so the task is now as easy as it gets. It is nice to see that it knows all the relevant libraries and concepts to make it happen. But there is something super interesting happening here. Look, it will tell you what the output of this piece of code will be, something that ChatGPT is not that willing to do. And it gets better. It also cites its sources even when it comes to writing code. Then when done, we will be able to move this to colab, an online notebook for running your coding experiments. And it also has the favorite of the fellow scholars, Dark mode. Yummy. So these assistants are mostly limited to text information. For instance, we can ask ChatGPT to recommend us text to image prompts and and the results will often be fantastic. But it cannot generate an image, at least not directly. To show how powerful this concept is, we will now take these ridiculously detailed scholarly prompts that really embody the spirit of two minute papers and go to a separate text to image AI and generate these scholarly images. First, illustration of a computer program rapidly sifting through scientific papers in extracting key findings and condensing them into a two minute format. Loving it. Very imaginative. Now a digital representation of a sentient AI depicted as a scholar surrounded by floating abstracts of research papers with a timer in the background counting down two minutes. And an artwork of a futuristic AI professor delivering a rapid fire lecture about a complex computational topic with with visual aids and diagrams materializing from a holographic interface. And he's doing it with style. So good. And these prompts are just getting more and more ridiculous. Get this. Now a visual metaphor of a dense scientific paper being wrung out like a wet towel, with the drips forming simplified, easily digestible information nuggets. Wow. And it still delivers. And if we so desire, we can ask for 10,000 variants of these concepts. And it will do exactly that and very, very quickly. So just imagine how powerful this concept of having large language models be able to create images would be. But the assistant itself cannot output or even show images directly. Until now, if we ask Bard to recommend sights to see in New Orleans. Oh my, what do we have here? Look, images are part of the recommendations too. Note that these images are found and not generated, but I am fairly confident that this is going to happen and quickly. But wait, it gets better. What is that? Is it possible that. Oh yes, that is an image input which we can now provide to Bard. And it will do whatever we wish. In this case, it will write a funny caption for it, or as many as we wish. And as a good fellow scholar, if we wish to get back and learn some more and perhaps go to college, and we are interested in video games, it can recommend colleges that offer this kind of program. But that is not so surprising. The surprise comes now. It even fires up Google Maps and shows them to us on the map. And this is just a small example that showcases the true potential of these assistants, and that is integration with other programs. And if we wish to cram all this information into a beautiful little table, we can do that too. But wait, ChatGPT can do this as well. So why is this interesting? Well, hold on to your papers, fellow scholars, and look, we can add an additional column to it on the fly, describing whether these colleges are private or public. And here you see one more instance of good software integration where we can add it to Google Sheets and share it with our friends with just a click. However, the integration is not limited to Google's apps. You will be able to infuse this assistant with the power of Instacart, Spotify, and my favorite, Khan Academy. In the next few months, our next video is going to be on exactly that. And the work is beyond amazing. So make sure to subscribe and hit the bell icon if you're interested. But the list does not stop here. Remember that I said that it would be absolutely amazing to have the AI write prompts and generate images in one go. Well, look. Oh my. Adobe Firefly integration. Yes, that is exactly what is going to happen soon. What a time to be alive. And it gets better. Bard is free to use as of now and is available in 180 countries as of the making of this video. And. And finally, there is now competition in this space which is really good for us, the users, and don't forget, all this is possible because of the existence of these amazing research papers, in ChatGPT's case, GPT, and in Bart's case, a work called Palm. So once again everyone is talking about the papers. Some might not know about it, but but they do. And just imagine what we will be able to do. Just two more papers down the line. My goodness. So for now, let the experiments begin. If you're looking for inexpensive cloud GPUs for AI, Lambda now offers the best prices in the world for GPU Cloud compute. No commitments or negotiation required. Just sign up and launch an instance and hold on to your papers. Because with Lambda GPU Cloud you can now get on demand H100 instances for just $2.40 per hour. They are one of the first cloud providers to offer publicly available on demand H100 access. Did I mention they also offer persistent storage? So join researchers at organizations like Apple, MIT and Caltech in using Lambda Cloud instances, workstations or servers. Make sure to go to lambdalabs.compapers to sign up for one of their amazing GPU instances today. Thanks for watching and for your generous support and I'll see you next time.