Microsoft has unveiled PHI-3, a groundbreaking small language model (SLM) that brings advanced AI capabilities directly to your iPhone! Despite its compact size, PHI-3 delivers performance comparable to larger models like GPT-3.5, enabling on-device AI processing without the need for cloud connectivity. In this video, we explore how PHI-3 enhances your iPhone's capabilities, from real-time language translation to intelligent task automation. Discover how this "tiny but mighty" AI is revolutionizing mobile computing.
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#MicrosoftAI #PHI3 #OnDeviceAI #iPhoneAI #SmallLanguageModel #ArtificialIntelligence #TechInnovation #MobileAI #AIRevolution #MachineLearning #AIonTheGo #SmartDevices #FutureOfAI #AIProcessing #TechTrends #AICommunity #MobileComputing #AIAdvancements #AIApplications #DigitalTransformation #AIIntegration
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00:00Microsoft just made a big move in the AI world by shrinking powerful AI down to fit right in your pocket with the Fi3 mini.
00:10And I mean that literally.
00:12This little powerhouse can run on your iPhone 14, bringing advanced AI capabilities without compromising your privacy.
00:19It's a game changer for anyone looking to use advanced technology simply and securely.
00:24In the past, developing AI meant creating bigger and more complex systems.
00:28With some of the latest models having trillions of parameters.
00:32These large models are powerhouses of computing and have been able to perform complicated tasks that are similar to how humans understand and reason.
00:39But these big models need a lot of computing power and storage, usually requiring strong cloud-based systems to work.
00:45Now with Fi3 mini, there's a change.
00:48This model fits an advanced AI right in your hand.
00:50Literally, it has 3.8 billion parameters and was trained on 3.3 trillion tokens, making it as good as much larger models like Mixtrol 8x7b and even GPT 3.5.
01:01What's even more impressive is that it can be used on regular smartphones without needing extra computing help.
01:08One of the major breakthroughs with this model is how carefully its training data has been upgraded.
01:13Instead of just making the model bigger, Microsoft put a lot of effort into improving the quality and usefulness of the data it learns from during the training.
01:22They understood that having better data, not just more of it, is key to making the model work better.
01:27Especially when they have to use smaller computer systems.
01:31Fi3 mini came about by making the data set it learns from bigger and better than the one its older version, Fi2, used.
01:37This new data set includes carefully chosen web data and synthetic data created by other language models.
01:43This doesn't just ensure the data is top-notch, but it also greatly improves the model's ability to understand and create text that sounds like it was written by a human.
01:51Now, the Fi3 mini model is built using a transformer decoder, which is a key part of many modern language models, and it has a default context length of 4K.
02:00This means that, even though it's a smaller model, it is still able to handle a wide and deep range of information during discussions or when analyzing data.
02:09Additionally, the model is designed to be helpful to the open-source community and to work well with other systems.
02:14It has a similar structure to the Llama 2 model and uses the same tokenizer, which recognizes a vocabulary of 320,641 words.
02:25This makes it easy for developers who have experience with Llama 2 to use their existing skills and tools with Fi3 mini without having to start from scratch.
02:34One of the coolest things about Fi3 mini is that it can run right on your iPhone 14.
02:38Thanks to the smart way it's built, it can be squeezed down to just 4 bits and still only take up about 1.8 gigabytes of space.
02:46And even with its small size, it works really well.
02:49It can create more than 12 tokens per second while running directly on the iPhone's A16 bionic chip without needing any internet connection.
02:58What this means is pretty huge.
03:00You can use some really advanced AI features anytime you want without having to be online.
03:04This keeps your information private and everything runs super fast.
03:08When it comes to how well it performs, Fi3 mini has really shown its strength in both in-house and outside tests.
03:15It scores just as well as bigger models do on well-known AI tests like MMLU and MTBench.
03:21This demonstrates not only the efficiency of its architecture, but also the effectiveness of its training regimen,
03:26which was meticulously crafted to maximize the model's learning from its enhanced data set.
03:31Now, when developing this, they also tried out larger versions of the model called Fi3 small and Fi3 medium,
03:38which have 7 billion and 14 billion parameters, respectively.
03:42These bigger models were trained using the same high-quality data, but for a longer time, totaling 4.8 trillion tokens.
03:50The results from these models were actually really good, showing major improvements in their abilities as they got bigger.
03:55For instance, the Fi3 small and Fi3 medium scored even higher on the MMLU and MTBench tests,
04:01proving that making the models bigger can be very effective without using more data than necessary.
04:06But the way they trained the Fi3 mini was different from the usual method of just making models bigger and using more computing power.
04:14The training process started with using web sources to teach the model general knowledge and how to understand language.
04:20Then it moved to a stage where it combined even more carefully chosen web data with synthetic data focused on logical thinking and specialized skills.
04:29This careful, step-by-step approach helped the model perform really well without just making it bigger.
04:35In training the model, they also made use of the latest AI research, including new ways of breaking down text into tokens and focusing the model's attention.
04:43For example, the Fi3 small model uses a tokenizer called TickToken to handle multiple languages better,
04:50showing Microsoft's commitment to improving how the model works in different languages.
04:55After the model's development, the team did a lot of testing to make sure it wouldn't produce harmful content.
05:00This included thorough safety checks, red teaming where they tried to find weaknesses, and automated testing.
05:06These steps are very important as AI becomes a bigger part of everyday gadgets and handles more important tasks.
05:13And Fi3 mini has been shown to produce harmful content less often than other models in conversations that have multiple turns.
05:21This lower risk of the model saying something inappropriate or harmful is key for its use in the real world.
05:28The creation of Fi3 mini also focused on getting the community involved and supporting them by using a design similar to Llama 2
05:35and making sure it works with tools developers already use.
05:39Plus, the model's design is flexible.
05:41It includes features like long rope, which lets the model handle much longer texts, up to 128,000 characters.
05:48Using the Fi3 mini on your iPhone 14 really changes the game by making advanced AI technology easy to access right on your phone.
05:56And the best part is, in my opinion, that it ramps up our privacy.
06:00We don't have to worry about sending our personal info to far-off servers to use AI apps anymore.
06:05Everything happens right on our phones, which keeps our data safe and private just the way it should be.
06:10Now, although Fi3 mini has many benefits, like all technologies, it has its limits.
06:15One big issue is that it doesn't have as much capacity as larger models because of its smaller size.
06:20For example, it might struggle with tasks that need a lot of specific information, like answering complex questions in a trivia game.
06:27However, this problem might be lessened by connecting the model to search engines that can pull up information when needed, as shown in tests using the Hugging Face Chat UI.
06:36Looking ahead, Microsoft's development team is excited about improving the model's ability to work in multiple languages.
06:43Early tests with a similar small model called Fi3 small have been promising, especially when it includes data from many languages.
06:51This suggests that future versions of the Fi series could support more languages, making the technology useful to people all over the world.
06:58Moreover, by showing that a smaller data-optimized model can perform as well as much bigger systems, Microsoft is encouraging the industry to think differently about how AI models are made and used.
07:09This could lead to new, creative ways to use AI in areas where it was previously too demanding in terms of computing power.
07:17Microsoft's Fi3 mini marks an important advancement in bringing powerful AI tools into our daily lives in a practical way.
07:25As this technology keeps improving, it is set to broaden what we can do with our personal devices, enhancing our experiences and abilities in new and exciting ways.
07:34The ongoing development of such models will likely inspire more innovation throughout the tech industry, potentially transforming how we interact with technology at a basic level.
07:44And when you think about it, the Fi3 mini isn't just a data optimization breakthrough, it's actually a sign of where AI is headed.
07:52It balances power and size with efficiency and accessibility, setting the stage for smarter, more adaptive and personal technology in our everyday lives.
08:01All right, don't forget to hit that subscribe button for more updates.
08:05Thanks for tuning in and we'll catch you in the next one.