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Monday to Friday: 8AM - 6PM
Model training, reinforcement learning, fine-tuning
A context window refers to the amount of text (or tokens) that an AI language model can process and “remember” at one time. It defines how much surrounding information the model considers when generating a response, influencing both accuracy and…
The Cooperative Principle is a theory from linguistics proposed by philosopher H.P. Grice, describing how people naturally cooperate in conversation to achieve effective communication. It suggests that participants typically follow shared rules or “maxims” to make dialogue meaningful, relevant, and…
Data augmentation is a technique used in machine learning and deep learning to artificially expand the size and diversity of a training dataset. It involves applying transformations, edits, or variations to existing data to create new examples, helping models generalise…
Ensemble Learning is a technique in machine learning that combines multiple models to improve predictive performance, accuracy, and stability. Instead of relying on a single model, ensemble methods merge the strengths of several to reduce bias, variance, and overfitting. The…
Agentic AI refers to artificial intelligence systems capable of performing tasks proactively with autonomy and purpose, rather than simply responding to direct instructions. These systems use reasoning, planning, and self-directed goals to complete complex workflows without continuous human input. In…