Understand model inference—the process of using trained AI models to generate predictions and responses for user queries.
More about Model Inference
Model Inference is the process of using a trained AI model to generate outputs (predictions, classifications, or text) based on new inputs. When you send a message to an AI chatbot, the inference process takes your text, processes it through the model's neural network, and produces the response.
Inference can happen locally or via cloud APIs. Factors affecting inference include model size, hardware (CPUs, GPUs, TPUs), optimization techniques, and token limits. Efficient inference is crucial for responsive chatbot experiences.
