Google's NEW AI 'PALM-2 Takes the Industry By STORM! (NOW RELEASED!)

So Google once again has tried to up the bar, because of course, as you know, the AI race continues. Google, the multinational company, decided that what they want to do now is up the bar with Palm 2. So essentially Palm 2 is going to completely change the game in terms of large language models, but you should take a closer look at what they've been announced and why it's going to change many different industries. So let's take a look. So now we have Palm 2. Now, one of the defining features which makes Palm 2 so honestly creating creative and so cool is that it's actually built in multiple stages. There are five different stages for Palm 2, which is essentially their large language model that's going to pretty much power every single application. And essentially what's so cool about this is that they have even a lightweight version called Gecko, which is built to run natively offline on your phone, which is essentially a large step in the large language models, because this now means that essentially we're going to be getting large language models embedded into other applications which work offline, which is truly, honestly insane. So this is something that I honestly can't wait for. And Palm 2 was trained on a bunch of different things and it's honestly improved quite a bit from the original Palm, which we already know was quite a success when embedded into some robots. And it actually supports over 100 different languages. So it's going to be interesting to see what many different communities create. Then. One of the major upgrades to Palm 2 was its ability to code. We know that coding is something that many people use ChatGPT for, but with Palm 2 they actually now support coding in many different langu. And with the Palm 2 integrations and upgrades, essentially what we have is a more robust and sophisticated version that can even code in many different languages, which is honestly quite impressive. I'm not even sure if this is something that ChatGPT can do at the moment. So this is a major breakthrough for Google. And of course we have Palm 2's fine tuning, which is honestly insane, because of course, as you know, large language models can be fine tuned to perform very well at specific certain tasks. So what Google actually did was they decided to fine tune a version of Palm which was essentially focused on medical research and diagnosis. And essentially with Palm 2 now, you can get accurate medical reports and diagnosis on certain cases, which is very, very impressive because we knew that this kind of stuff is very, very hard to diagnose correctly. And recent studies show that estimated errors may account for as many as 251,000 deaths annually. So this is a big problem that Google are trying to fix. And with the invention of Med Palm 2 there's a times reduction of inaccurate reasoning. So essentially they are improving the accuracy results of these diagnoses that are given and it seems to be working very well. So you can see right here that the LLM performance before 2023 and then we have MED palms 2 actual benchmark reaching the expert performance level, which is honestly quite impressive because this stuff is moving very, very quickly and they've already reached expert performance right here. You can literally see that this is of course multimodal because it says what does this film show? And, and then Med Palm 2 gives the right feedback, so it shows what kind of fracture there is. And this is honestly quite interesting because you can literally input a scan and then the AI is going to tell you exactly what is wrong, which is going to literally solve a lot of issues when it does come to wrong diagnosis, taking time to diagnose certain things and of course contrasting opinions on what is wrong. So this is something that is really, really good for the healthcare industry and I can't wait to see this integrated into many systems which is going to make a very healthier and safer world. So essentially one thing that Google actually did earlier this year was around 4-4-2023, they actually released a groundbreaking research in health AI where they actually did a deep dive into Palms 2's Med Palm. Now this kind of went under the radar with the video only getting around 16,000 views. But this was a truly huge advancement for Med Palm because as you already know, if you MedPal has shown to have many advancements in AI. Now one of the key things that makes MedPalm so great is that of course it performs exceedingly well compared to the previous benchmarks that we've previously seen. Now this is a true breakthrough because this was something that they didn't expect. You see, you can currently see that the previous benchmarks of previous large language models before 2023 or, or essentially before Med Palm was released, and you can see that they don't actually hit the required benchmark in order to pass certain tests. But of course, as you know, when they released the first version of Med Palm, which is based on Palm 2, you can see that they immediately got the 67.2% and of course in the future, which the version which we have now is of course at currently around 87%. What's interesting is that you can actually see clinicians answers compared to Med Palm's answers. Essentially what they did with Med Palm was they decided to rate these answers on a completely new rating system to see if Med Palms answers were actually good. Now, you can see that for each of these questions, they decided to get real clinicians to answer the same questions as Med Palm. And then what they then had was clinicians versus the Med Palm to see what other clinicians thought the answer was in terms of if it was good. And you can see right here, the clinician review of MedPalm's answer shows that it was actually pretty accurate. Now, this is of course, really good because this definitely can aid certain doctors when it comes to giving out diagnoses. And as we previously discussed, this is one of the biggest issues in healthcare because many times millions of people do die from wrong diagnosis. We also have another example here where you can see that there is the clinician answer and the Med Palm answer. And I think in this example, Google Health dictated that the Med Palm answer was arguably somewhat, a little bit different, but gave certain insights that the clinician's answer didn't give. So if you're wondering if this Med Palm is going to be completely replacing the healthcare industry, I don't think so. But I do think it is going to be a huge boost because these large language models have the ability to analyze large amount of data sets. I remember in a recent AI podcast, I believe it was Eliza Yudowski that essentially talked about how if you would prefer to see a doctor that had seen maybe 100,000 patients rather than a doctor that had seen 100 million patients, I'm pretty sure most people would be comfortable with seeing the doctor that had 100 million patients. Okay. And that's because, of course, AI can essentially see that many patients, because all you need to do is train it on many different specific cases. And once it gets really good at spotting certain things, it's going to be essentially increasingly good at making accurate predictions, which is going to be great because now you don't have that human error where people may make misjudgments, people can make complaints, and of course, there can be errors in human, you know, analysis. So this is going to be something that really does shake up the healthcare industry, and for a good way, not in a bad way at all, because this won't actually replace anyone. This is only going to assist those that are already going to be confident in their decisions. If you're wondering just how powerful Palm is when it comes to converting different languages and translating them to. You can see right here. This is an excerpt from the research paper that Google actually produced and it talks about how you can actually fix a bug with comments in Korean. So you can see that the code is in English. And then essentially what we have here is someone that said fix a bug and then add these comments in Korean, which is actually really, really good because this now means that this kind of software is going to be effective in many different countries. Now, I. I'm not sure that GPT4 does have this capability, but it does seem that Google is trying to excel at areas where GPT4 and other large language models do lack. And I think this is somewhere that they've already shown that they are really, really doing well in. Now, another piece of information for Palm 2 was the ability to out beat Palm 1. Now of course this is expected, but these benchmarks show just how greater Palm 2 is compared to Palm 1. And I think there's a little bit of stuff in this research paper that they honestly don't talk about too much, but are honestly really interesting. For example, there's also this from the paper, you can see right here that they talk about how Palm compares to GPT4 and that it shows that it's actually quite competitive. Now you can see right here from this table, you can see GPT4's results on certain tests. Then you can also see Palm2's results on certain tests. And you can see that these large language models are starting to catch up to one another. And Palm 2 is actually quite competitive with GPT4. Now, now the only question I have for you. Is Palm 2 going to be ever catching up to GPT 4, or is Palm 2 just going to be what GPT 3.5 is? And like the other chatbots like Claude, instant. So let me know what you think about Google's Palm 2 and the innovations that they've done and if you'll be using this or not.