Generative AI: Tangible, Practical, Now!
Hello to all the tech leaders and product managers out there! Welcome back to chapter two of our journey into the world of Generative AI. Now that we've ticked off the basics, it's time to get down to business: How does AI actually learn? And how can you use this knowledge to take your products and strategies to the next level? Sounds exciting? It is!
Problem: Why AI sounds more complicated than it is
Have you ever heard terms like “backpropagation”, “gradient descent” or “hyperparameter” and thought: “What does all this mean?” Don't worry, you're not alone. But this is exactly the knowledge you need to launch your next product feature or set up your team for the future.
The price of ignorance
Let's be clear: without knowing the basics, you risk stalling your AI projects. Imagine if a model is initialized incorrectly or the optimization process goes wrong - that means lost time, missed market opportunities and dissatisfied stakeholders. And you want to avoid that, don't you?
Generative AI: not witchcraft, but mathematics
The secret behind AI? Mathematics, logic, and a pinch of creativity. In our session, we demystified exactly that: how does AI really work, and how can you apply it in practice? Our goal: less theory, more hands-on.
Our topics: Practical and to the point
In our session, we rolled up our sleeves and looked at the following topics:
- Optimization techniques: Why the Adam Optimizer is the Ferrari of optimizers - fast, efficient, reliable.
- Understanding overfitting: What happens when a model is too well-trained - and why this is not always optimal.
- Neural Network Architectures: From simple feedforward networks to transformer models like ChatGPT.
The best part? Hands-on in Python! Together, we trained a model, tested optimizations and experienced the effects of parameter settings live. No dry theory - this is coding.
Make your team AI-ready
AI is not the future - it's the present. Want to launch your product faster? Make your teams smarter? Then now is the time to invest in the right tools and skills.
Aspiring for more? The next session is all about transformer networks and how you can perfectly adapt pre-trained models to your use cases. Become an AI pioneer in your company!
P.S. Fine-tuning: your game changer
The next step? Fine-tuning AI models so that they do exactly what you need them to do. Whether for SaaS, B2B or marketing - get involved and make the difference.
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