Decision-making in LLMs – probability and statistical analysis
Decision-making in LLMs involves complex algorithms that process and generate language based on a variety of factors. These include the input data they were trained on, the specific instructions or prompts they receive, and the statistical models that underlie their programming.
In this section, we’ll provide an overview of how LLMs use probability and statistical analysis in decision-making.
Probabilistic modeling and statistical analysis
Probabilistic modeling is a cornerstone of how LLMs such as GPT-4 function. This approach allows the model to process natural language so that it reflects the complexities and variances inherent in human language use. Let’s take a deeper look at several aspects of probabilistic modeling in LLMs:
- Fundamentals of probabilistic modeling: Probabilistic modeling is based on the concept of probability theory, which is used to model uncertainty. In the context...
