Chat Model
Chat models are AI systems that understand and generate text. They can be trained to improve and adapt to new domains. Learn more here.
Read More
Glossary
Fine-tuned model
Fine-tuning is a powerful technique to customize large language models (LLMs) for specific domains and tasks. By using a smaller, relevant dataset, you can improve the performance and accuracy of your model.
Read More Pretrained Model
A pre-trained model is a machine learning model that has been trained on a large dataset and can be reused for various tasks. Pre-trained models can save time and resources, improve performance, and enable transfer learning.
Read More The Boolean Satisfiability Problem
The Boolean Satisfiability Problem, commonly called SAT, is a vital problem in computer science and logic. The issue centers around establishing whether there’s an interpretation that satisfies a specific Boolean computation.
Read More The Computational Problem (Ai)
The Computational Problem (AI) is about overcoming challenges in creating efficient algorithms for complex tasks involved in optimization, decision-making, pattern recognition, and more in the AI field. This problem stems from the complexity and uncertainty of real-world systems, such as large-scale data, variable nonlinear relationships, dynamic environmental changes, and limited computational resources.
Read More A Binary Trees
A Binary Trees is a rooted tree data structure with a maximum of two children per node, labelled left and right child. It is defined by data elements and pointers.
Read More