Exploring the parallels between domain-specific languages (DSLs) and the prompting techniques used with large language models.
Category: Patterns
Exploring the fundamental reasons why artificial intelligence struggles to replicate the art of dance, despite its capabilities in pattern recognition and analysis.
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Caching
Why caching? The main purpose of caching is to prevent expensive calls. Caching data means, we don’t fetch any data that we already know of. A cache is like steroids for data retrieval, it can boost the performance of an application like a rocket. But it comes at its cost: the downside of caching is […]
In Physics we know the principle of a conserved quantity. A conserved quantity is something that doesn’t change while other variables in the system are modified. For example, the total energy in a closed system can neither disappear nor can it grow over time out of nothing. The amount of energy is conserved. Some of […]
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The Blackboard Pattern
You can find a lot of descriptions of the common patterns like MVC, strategy, factory, adapter etc. on the internet. The blackboard pattern is one of the not so common patterns. This is why I want to take a closer look on it. It can be categorized as a behavioral pattern. The blackboard pattern describes […]