Stop getting weak AI answers. Boost accuracy with personas, context, and clear output rules, plus examples and step-by-step thinking.
A first-hand look at building and testing AI agents, exploring prompts, Rails workflows, and multi-agent collaboration.
In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool.
Abstract: This paper has proposed a novel transformerless high gain DC-DC converter. The combination of the Cuk and positive output super lift Luo converter (POSLL converter) has formed the topology ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Global and local sensitivity analyses are essential for identifying key parameters in ...
Community driven content discussing all aspects of software development from DevOps to design patterns. Notice how the output includes only the first String the Java Scanner read. The rest of the text ...
At first glance, this looks like a duplicate. But from the context, I think the first line shows the string literal with escape characters (what you write in code), and the second line shows how ...
It’s often the case that as we are writing code, we don’t have all the information we need for our program to produce the desired result. For example, imagine you were asked to write a calculator ...
ABSTRACT: Comprehensible input and vocabulary acquisition are viewed as the crucial components of second language acquisition. So as to further discuss the relationship between comprehensible input ...
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