NEW Gemma Model is INSANE! 🤯
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NEW Gemma Model is INSANE! 🤯

Julian Goldie SEO 22.12.2025 4 740 просмотров 108 лайков обн. 18.02.2026
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Want to make money and save time with AI? Get AI Coaching, Support & Courses 👉 https://juliangoldieai.com/07L1kg Get a FREE AI Course + 1000 NEW AI Agents 👉 https://juliangoldieai.com/5iUeBR Want to know how I make videos like these? Join the AI Profit Boardroom → https://juliangoldieai.com/07L1kg Google T5 Gemma 2: The New King of Open Source Multimodal AI Google has released T5 Gemma 2, a game-changing multimodal model featuring 140 languages and a massive 128k context window. Learn how this open-source powerhouse can automate your business support, content creation, and document analysis for free. 00:00 - Intro: Google's Massive AI Update 01:02 - How Encoder-Decoder Models Work 01:37 - T5 Gemma 2 Architecture & Sizes 02:15 - Multimodal Vision & 128K Context 03:12 - Global Support & Efficiency 04:23 - How to Deploy T5 Gemma 2 05:16 - Top 5 AI Automation Use Cases 06:36 - Why Open Source Matters

Оглавление (8 сегментов)

  1. 0:00 Intro: Google's Massive AI Update 188 сл.
  2. 1:02 How Encoder-Decoder Models Work 99 сл.
  3. 1:37 T5 Gemma 2 Architecture & Sizes 113 сл.
  4. 2:15 Multimodal Vision & 128K Context 165 сл.
  5. 3:12 Global Support & Efficiency 202 сл.
  6. 4:23 How to Deploy T5 Gemma 2 170 сл.
  7. 5:16 Top 5 AI Automation Use Cases 225 сл.
  8. 6:36 Why Open Source Matters 322 сл.
0:00

Intro: Google's Massive AI Update

Google just dropped something crazy. T5 Gemma 2 is here. It sees images, reads text, and understands 140 languages. This changes everything for AI automation. Let me show you why this matters for your business. 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. And today, Google just released something massive. It's called T5 Gemma 2, and it's honestly one of the most powerful Open AI models I've seen in months. Let me explain why you should care. First, it's completely free to use. Second, it can process images and text at the same time. Third, it handles 140 different languages out of the box. And fourth, it can read documents up to 128,000 tokens long. That's like reading an entire book in one go. So, if you're building AI automation for your business, this is huge. Julian Goldie reads every comment, so make sure you comment below. Now, let me break this down for you. Okay, so T5
1:02

How Encoder-Decoder Models Work

Gemma 2 is Google's latest encoder decoder model. What does that mean? It means it's built to understand your input really deeply, then generate really good outputs. Most AI models just generate text based on patterns. But encoder decoder models actually understand the structure of your content first, then they generate responses. This makes them way better at summarization, translation, and question answering. Think of it like having two brains working together. One brain reads and understands everything. The other brain writes the perfect response. That's why encoder decoder models crush specific tasks. T5 Gemma 2 is built on
1:37

T5 Gemma 2 Architecture & Sizes

top of Gemma 3. Google added vision capabilities. They added support for 140 languages. They extended the context window to 128,000 tokens and they made the architecture more efficient. There are three model sizes available. 270 million parameters, 1 billion parameters and 4 billion parameters. Need something fast? Use the 270 arm version. Need more power? Use the 4B version. And here's the best part. All of these models are open source. You can download them on HuggingFace. You can run them on Google Collab. You can deploy them on Vert. Ex AI. You can even fine-tune them for your business. This is huge for AI automation. Let me tell you what makes
2:15

Multimodal Vision & 128K Context

T5 Gemma 2 stand out. First, it's multimodal. It processes text and images together. Say you're running the AI profit boardroom and someone sends a screenshot of their automation setup. You feed that image plus their question to T5 Gemma 2. It analyzes a screenshot and gives you a detailed answer. Automated member support for visual questions. This is massive because most AI models can only handle text. They're blind. T5 Gemma 2 can actually see what you're showing it. This opens up completely new use cases. Second, extended long context. 100 thousand tokens. You could feed it an entire course outline and ask it to create quiz questions. You could upload all your community guidelines and ask it to check if a post violates them. Perfect for scaling community operations. To put this in perspective, most models max out around 8,000 to 32,000 tokens. T5 Gemma 2 handles four times more. That's the difference between reading a chapter and reading an entire book. Third
3:12

Global Support & Efficiency

multilingual support. 140 languages. You could translate your entire AI profit boardroom content library into Spanish, French, German, Japanese all at once. Build automated customer support that works in any language. Most businesses only operate in English. With this, you go global overnight. Fourth, they made the architecture more efficient with tied word embeddings and merged attention mechanisms. This means faster inference and lower cost when you deploy it. You get better performance with less compute. That's a huge win. Now, you might be thinking, does it actually work? Yes, it outperforms previous T5 Gemma models across the board. It beats Gemma 3 on multimodal benchmarks. It's better at long- form reasoning and coding challenges. And speaking of AI automation, if you want to learn how to save time and automate your business with AI tools like T5 Gemma 2, check out the AI profit boardroom. We show business owners exactly how to implement these cuttingedge models into their workflows. Automate customer support, content creation, data analysis, and more. We cover every new AI release and show you exactly how to use it in your business. No theory, just practical automation strategies you can implement today. Link is in the description below.
4:23

How to Deploy T5 Gemma 2

All right, let me show you how to get started. First, head to hugging face. Search for T5 Gemma 2. You'll see all three model variants. If you're just testing, start with the 278 model. It's fast and runs on most hardware. Google has example notebooks on Kaggle and Collab. You can click a button and start running inference. No setup required. Just paste in your text or image, run the cell, and see the output for production use. Deploy it on Vert. Ex AI. This is Google's managed AI platform. You upload your model. You set up an API endpoint. Now you can call it from your website or app. It scales automatically. You can also fine-tune these models. Take your customer support tickets, product docs, and chat logs. Fine-tune the model on it. Now it understands your business better than any generic model. The hugging face documentation shows you exactly how. There are code examples and tutorials. The community is super active. Let me give you specific ways
5:16

Top 5 AI Automation Use Cases

you can use this right now. First, multilingual customer support. Set up T5 Gemma 2 to handle support requests in any language. A customer in Brazil writes in Portuguese. The model responds in perfect Portuguese. Someone in Korea writes in Korean. It responds in Korean. Serve a global customer base without hiring multilingual support staff. Second, document analysis. Feed long contracts, proposals, or research reports to T5 Gemma 2. Ask it to extract key points or summarize findings. What took hours now takes seconds. You could analyze 100 contracts in the time it used to take to read one. Third, visual content creation. You're designing social media posts for AI profit boardroom. Create a mockup. Feed it to T5 Gemma 2. Ask, "Does this image clearly communicate the value of AI automation? It analyzes your design and gives feedback. You get instant critique without waiting for your design team. Fourth, content localization. Write a blog post about AI trends. T5 Gemma 2 translates it into 20 languages. It adapts cultural references and maintains your brand voice. Your content reaches 10x more people overnight. Fifth, edge deployment. The smaller models run on mobile devices or edge hardware. Build an AI assistant that runs locally on a phone. No internet required. Huge for privacy sensitive applications. Everything stays on device. No data leaves the phone. Here's something
6:36

Why Open Source Matters

important. T5 Gemma 2 is open source. That means you own your implementation. You're not locked into a vendor. You're not paying per API call. You download the weights. You run them wherever you want. You have complete control. You can also modify it. You can combine it with other models. You can build custom solutions. Big companies charge thousands per month for similar capabilities. With T5 Gemma 2, you get it for free. You just pay for compute. And because it's open, the community will build amazing things on top of it. People will share fine-tuned versions. They'll share best practices. You benefit from all that collective innovation will build amazing things on top of it. They'll create tools and libraries. You benefit from all of that collective innovation. So, here's what you should do next. First, go test T5 Gemma to yourself. Head to HuggingFace or Google Collab. Run some examples. See what it can do. Think about how you could use it in your business. And if you want the full process, SOPs and 100 plus AI use cases like this one, join the AI success lab. It's our free AI community links in the comments and description. You'll get all the video notes from there, plus access to our community of 38,000 members who are crushing it with AI. We break down every new model release. We show you exactly how to implement it. We give you the prompts, the code, the workflows, everything you need to stay ahead. T5 Gemma 2 is a gamecher. It brings enterprise level AI capabilities to everyone. Multimodal understanding, massive context windows, 104 languages, all open source, all free. If you're serious about AI automation, you need to learn this tool. So go check it out, test it, build with it, and let me know in the comments what you create. I read every single one. See you in the next video.

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