Prompt engineering is the practice of designing and refining specific text prompts to guide transformer-based language models, such as Large Language Models (LLMs), in generating desired outputs.
Decision Transformers stand as a beacon of progress in the reinforcement learning landscape, poised to reshape how intelligent agents are trained and interact with their environments.
Generative AI is a technology used to generate new and original content. It leverages advanced algorithms and neural networks to autonomously produce outputs that mimic human creativity and decision-making.
Synthetic data refers to artificially generated data that replicates the statistical properties and characteristics of real data without containing any identifiable or sensitive information.
Data annotation is adding labels or tags to a training dataset to provide context and meaning to the data.
Reinforcement learning from human feedback (RLHF) is a machine learning approach that leverages a combination of human feedback and reinforcement learning to train AI models.
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