Part 6/8:
Following that, exploring neural networks and transitioning to libraries like PyTorch and TensorFlow will deepen your understanding and capability in building advanced ML applications that do not always rely on LLMs. Knowing how these algorithms work helps in selecting the right approach based on the application’s needs.
Step Five: Dive into LLMs and AI Agents
With a solid foundation established, it’s time to fully embrace LLMs and AI agents—the cutting-edge of AI technology. Understanding the architecture behind models like GPT is essential. You should familiarize yourself with how LLMs function, their capabilities, and their limitations.