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Created July 29, 2024 20:43
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Theory URL Description
Collaborative Intelligence Collaborative Intelligence Combining the outputs of various models through a structured process of proposals and aggregations to enhance performance.
Iterative Refinement Iterative Refinement Each layer of LLM agents refines the outputs from the previous layer to improve the overall quality.
Specialization Limitation Specialization Limitation Individual models excel in specific tasks but struggle with others, necessitating the combination of multiple models.
Soft Splits in Decision Trees Soft Splits in Decision Trees Traditional decision trees create rigid structures, while soft splits allow inputs to traverse multiple paths with certain probabilities.
Low-Rank Decomposition Methods Low-Rank Decomposition Methods Techniques for model compression that create compact models with fewer parameters, enhancing efficiency.
Active Sampling Active Sampling A data selection method designed to choose the most representative portion of a dataset for a specific task.
Bounded Rationality Bounded Rationality Limitations in computational capacity and working memory constrain decision-making processes.
Retrieval Augmented Generation (RAG) Retrieval Augmented Generation (RAG) Combining retrieval and generation methods to improve performance without extensive retraining.
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