8 terms
Showing all terms starting with I
The use of AI models to create new images from text descriptions or other inputs, as seen in tools like Midjourney and DALL-E.
The process of running a trained AI model to produce predictions or outputs from new input data - distinct from the training phase.
The ability of LLMs to adapt to new tasks using only examples or instructions provided in the prompt, without updating model weights.
A computer vision task that assigns a class label to every pixel in an image, used in medical imaging, autonomous driving, and editing tools.
Fine-tuning a language model on a dataset of (instruction, response) pairs to make it better at following diverse natural language instructions.
Using AI to enhance and extend human cognitive capabilities rather than replacing them entirely, combining human judgment with machine speed.
Research into understanding what computations neural networks perform internally, often probing individual neurons or attention patterns.
The integration of AI with Internet of Things sensors and devices to enable real-time intelligent decision-making at the network edge.
