Inference refers to the process of using a trained model to make predictions or decisions. It involves inputting new, unseen data into a Language Model and receiving an output that represents the model's best guess or prediction. This process is crucial in many AI applications, such as image recognition, natural language processing, and recommendation systems, where the model's ability to infer or predict outcomes based on learned patterns is utilized.
The LLM Knowledge Base is a collection of bite-sized explanations for commonly used terms and abbreviations related to Large Language Models and Generative AI.
It's an educational resource that helps you stay up-to-date with the latest developments in AI research and its applications.