AI Agent · Georgetown CSET
Below, Figure 1 indicates an overview of how LLMs are tuned
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Figure 1: Training a Large Language Model.
Key facts
- And in April 2026, compounding effects from two post-training processes led GPT models to become strangely obsessed with goblins
- Below, Figure 1 shows an overview of how LLMs are trained
- In 2017, the transformer architecture revolutionized text generation by introducing attention mechanisms, allowing models to “look back” across the entire context of a conversation
- The behaviors of a Large Language Model (LLM) are due to a combination of many components, including, but not limited
Summary
AI systems are increasingly impressive, which makes their failures all the more baffling. When an AI does something surprising—whether brilliant or baffling—it’s rarely one thing that caused it. The behaviors of a Large Language Model (LLM) are due to a combination of many components, including, but not limited to:. In this piece, the reporter will look at each of these components and explore their impacts on the behavior of LLMs. “Garbage in, garbage out” is a common saying in the machine learning community and problems with data quality account for a large portion of AI misbehavior.