Challenges of Building AI Apps

In this episode, I unpack the core challenges of building AI-powered applications, from technical complexities to scaling in the real world. If you’ve ever wondered what it takes to bring an AI idea to life, this is the episode for you.

Here’s what I cover:

💰 The Cost of GPUs: Why GPUs are essential, how their cost impacts development, and strategies to optimize your compute budget.

🤖 Working with LLMs: The hurdles of training, fine-tuning, and deploying large language models—plus when to stick with pre-trained options.

🌐 Scaling & Distribution: The realities of deploying AI at scale, balancing infrastructure demands, and maintaining performance under pressure.

🔍 Complexity in Design: Building intuitive, user-friendly interfaces for complex AI functionality.

AI development isn’t just about building cool models—it’s about navigating the tough decisions that come with making them usable and scalable.

What’s the biggest challenge you’ve faced (or expect) when building AI apps? Let’s talk!

#AI #TechPodcast #MachineLearning #AIDevelopment