Part 2/4:
The development of effective AI agents is not just about building more powerful models. There are four key components that comprise a thriving AI ecosystem:
The Model Itself: The foundation of any AI tool lies in its core model, which needs to improve in capabilities to handle more complex tasks.
Post-Training Enhancements: Continuous post-training processes are crucial for refining the model's outputs and ensuring that it can adapt to new information and environments.
Internal Tooling: This refers to the necessary infrastructure and interfaces that allow users to interact effectively with AI models, making them more accessible and functional.