instructions to act as fast and accurately as possible. A subsequent prediction following the first experiment from the model is that when participants are given distinct instructions to perform on the task, these instructions will induce distinct chunking behavior even when the sequence have the same...
The solution involves breaking down – or “chunking” – larger sequences into smaller ones. For example, if you want to remember the ten digit sequence 6256493174, you could instead think of it as 6, 256, 493, 174. Or 62, 56, 49, 31, 74. Or some othe...
A strategy focused on customer delight does not work because delighting customers is rare, and even when delight does occur, it does not make customers much more loyal than simply meeting their expectations does. It does not work because customer service interactions are four times more likely to...
The conventional RAG pipeline, which involves chunking, embedding, retrieving, and generating, faces significant challenges. One of the most pressing issues is the destruction of long-distance contextual dependencies. This problem arises when rele...
The most important improvement that we made to the chunking and embedding was to prepend chunks with metadata. For example, say you have this chunk of text about using MongoDB Atlas Vector Search: 1 ### Procedure 2 3 <Tabs> 4 5 <Tab name="MongoDB Atlas"> 6 7 ### Go to the...
The theory is based on the idea of “chunking,” which is a psychological principle that states that information is grouped into smaller units making it easier to process and recall. Microlearning strengthens this perspective since it provides content in small chunks, which in turn decreases ...
The theory is based on the idea of “chunking,” which is a psychological principle that states that information is grouped into smaller units making it easier to process and recall. Microlearning strengthens this perspective since it provides content in small chunks, which in turn decreases ...
Appreciate Complexity:Realizing that even a simple phrase involves a multitude of processes helps us appreciate the remarkable power of our brains! Understanding the stages of speech production offers valuable insights into the challenges and strategies of second language learning. Here’s a breakdown of...
Chunking as a rational strategy for lossy data compression in visual working memory Psychological Review, 125 (4) (2018), pp. 486-511, 10.1037/rev0000101 View in ScopusGoogle Scholar Oberauer, 2019 K. Oberauer Is rehearsal an effective maintenance strategy for working memory? Trends in Cognitive...
For instance, while working with Approach 3 (Patterns G or H), you might need a frontend. In this case, you could use plugins (Pattern A) or the Teams AI Library (Pattern F) along with it. Always consider the synergies between different patterns when ...