This NEW AI Agent Update is INSANE! 🤯

Liquid AI just dropped LFM2. 5 and it's changing everything. This thing runs on your phone. No cloud needed. It can see, hear, and talk. And it's completely free to download. Let me show you why this is a game changer. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. All right. So, today we're talking about LFM 2. 5. And I know what you're thinking. Another AI model really. But stick with me here because this one is different. Very different.

First, let me tell you what this actually is. LFM 2. 5 is a family of tiny AI models. When I say tiny, I mean around 1 billion parameters. That's small compared to GPT4 or Claude. But here's the crazy part. These models run completely on your device. Your laptop, your phone, even embedded devices. No internet needed. No cloud processing. Everything happens right there on your hardware. And they're fast. Like really fast. Now, Liquid AI just released five

different versions of this model. Each one does something different. Let me break them down for you. First, there's LFM2. 5 1. 2b base. This is the foundation model. Think of it as a blank canvas. Developers can take this and customize it for whatever they need. Second, there's LFM 2. 5 1. 2b instruct. This one is tuned to follow instructions. You give it a prompt, it does what you ask. Simple as that. Third, there's LFM2. 5 1. 2 BJP. This version is specialized for Japanese. If you're working with Japanese language tasks, this is your go-to. Fourth, there's LFM2. 5 VL 1. 6B. VL stands for vision language. This model can process both images and text. You can show it a picture and ask questions about it. It understands what it's seeing. Fifth, there's LFM 2. 5 audio 1. 5B. This one handles speech. You talk to it, it talks back. And here's what's wild. It doesn't use a separate speechtoext system. It processes audio natively. That means less lag and better

quality. Now, you might be wondering why this matters. Let me tell you, most AI models need the cloud. They send your data to a server somewhere, process it there, then send it back. That takes time. It needs internet, and it raises privacy concerns. With LFM 2. 5, everything stays on your device. Your data never leaves, no internet required, and it's lightning fast. Now, let me tell you about the training. These models were trained on 28 trillion tokens. That's up from 10 trillion in the previous version, almost three times more data. And they used reinforcement learning to improve instruction following. That means better responses, more consistent behavior, stronger reasoning, all in a tiny package that fits on your phone. Think about what

this enables. personal AI assistants that work offline, mobile apps that don't need cloud access, edge devices and cars, IoT hubs, wearables, all running powerful AI locally. Let me give you some real use cases. Say you're running a community like AI profit boardroom. You want to create an ondevice assistant for your members. Something that helps them generate content ideas, answers their questions about AI automation, provides templates for social media posts, all without needing internet access. LFM 2. 5 makes that possible. Or maybe you're building a mobile app. You want users to take photos of documents and extract information. No cloud processing needed. Complete privacy. The vision language model handles that perfectly. What about voice interfaces? Imagine a wearable device that helps you manage tasks hands-free. You speak to it, it responds instantly. No lag from sending audio to a server. LFM 2. 5 audio does that. And here's something most people don't realize. When AI models use separate systems for speech, they lose information. You speak, it converts to text, sends to AI, AI responds, converts back to speech. Every conversion loses something. With native audio processing, you skip all that better accuracy, lower latency, smoother experience. Now, let's

talk about the technical side for a second. These models are optimized for CPU and MPU. That means they run efficiently on regular processes. You don't need fancy GPUs. They support all the major frameworks, too. Hugging face, Leap, Llama, CPP, MLX, VLM, ONX, Nexl. If you're a developer, you can grab these models right now. Download them from Hugging Face, fine-tune them for your specific use case, deploy them wherever you need, and they're open weight. That means you can see how they work, modify them, customize them. No blackbox, full transparency. Now, I know some of you are thinking about performance. Can a 1 billion parameter model really compete with larger models for specific tasks? Absolutely. These models aren't trying to be GPT4. They're designed for ondevice use cases where speed and privacy matter more than knowing every fact in the world. They excel at instruction following, understanding context, processing images and audio, all the things you need for practical AI agents. And because they're so small, they're incredibly energyefficient. Your battery lasts longer. Your device doesn't overheat. It just works. Let me give you another example. Say you're traveling, no internet access, you need to translate something from Japanese or analyze a business document or get AI help with a presentation. With LFM 2. 5 on your device, you can do all of that completely offline right there on your laptop or phone. That's powerful. Now, here's where this gets really

interesting for business owners and content creators. Imagine automating your customer support with an AI agent that runs locally. No data sent to external servers. Complete privacy for your customers. instant responses with zero latency. Or think about creating personalized content for your audience. You could build an AI writing assistant that understands your brand voice, generates social media posts, drafts, email sequences, creates video scripts, all on your device. No monthly API costs, no usage limits, just unlimited AI assistance whenever you need it. For the AI profit boardroom community, this is huge. We're always looking for ways to automate business processes and save time. LFM 2. 5 opens up entirely new possibilities. You can build custom AI tools that fit your exact workflow. Train them on your specific data and deploy them without worrying about cloud costs or privacy issues. If you want to learn how to implement cuttingedge AI automation like this in your business, you need to check out AI profit boardroom. We teach you practical strategies for using AI tools to scale your operations and stay ahead of the competition. No theory, just real implementations that save you hours every single week. Check the link in the description. All right, back to the technical stuff. One thing that really impressed me about LFM 2. 5 is the vision capabilities. The VL model can look at screenshots, diagrams, photos, basically any image, and it understands what it's seeing. You can ask it to extract text from images, describe what's happening in a photo, even analyze charts and graphs. This is perfect for built-in apps that help with productivity. And the audio model is just as impressive. It handles speech end to end. You can have natural conversations with it. Ask it questions, get detailed responses, all through voice. No typing required. This is perfect for accessibility tools or hands-free applications or anything where you need quick verbal interaction with AI. Now, let's talk about customization. Because these models are openweight, you can fine-tune them. That means you can take the base model and train it on your specific data. Want an AI that understands your industry jargon? Fine-tune it. Want one that matches your writing style? specialized for your business processes? You guessed it, fine-tune it. This level of customization was previously only available to big companies with massive budgets. Now, anyone can do it. Download the model, prepare your training data, run the finetuning, deploy it, you're done. And because it's running on your device, you control everything. The model, the data, the entire pipeline. Here's another use case. Educational apps. Imagine a learning assistant that runs on a student's tablet completely offline, helps with homework, explains concepts, provides practice problems, all while keeping the students data private. No internet required. Perfect for schools or areas with limited connectivity or medical applications. And if you want to stay ahead of these AI developments and learn how to implement them in your business, join AI profit boardroom. We cover the latest tools, strategies, and automations to help you work smarter. link is in the description. Also, if you want the full breakdown, step-by-step guides, and access to over a 100 AI use cases like this one, join the AI Success Lab. It's our free AI community with over 40,000 members who are crushing it with AI automation. You'll get detailed notes from this video, templates, and tons of support. Links are in the comments and description. That's it for today. Go

check out LFM2. 5, experiment with it, build something cool, and let me know in the comments what you think. See you in the next one.