u/rainerhahnekamp

Little bit late to Angular 22 party 😅

In this article, I cover the fundamentals of AI on a need-to-know basis. The goal is to provide a solid foundation that helps make sense of a lot of the things currently going on in the industry: how models actually function to the shift toward agentic loops and "harness engineering."

Some of the key areas explored include:

• The Training Process: Understanding the difference between pre-training and fine-tuning.
• Model Limitations: Why statelessness and context rot are significant hurdles for current LLMs.
• Agentic Loops: How we move from simple chat interfaces to models that can actually execute tasks via a "harness."

I would be happy to get some feedback and start a discussion. If you have any ideas for specific topics I should cover in further articles, let me know!