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Source channel @githubtrending · Post #15110 · Sep 1

#other Cognitive load is the mental effort needed to understand and work with code. Since our brain can only hold about four pieces of information at once, complex code with many conditions, deep inheritance, or too many small modules increases this load, making it harder to understand and maintain. To reduce cognitive load, use clear, meaningful variable names, prefer composition over inheritance, avoid too many tiny modules, and keep interfaces simple. Also, avoid excessive abstractions, tight coupling with frameworks, and overly complex architectures. Lower cognitive load helps you and your team understand code faster, reduce bugs, and be more productive. https://github.com/zakirullin/cognitive-load

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@venturevillagewall · Post #3585 · 12/20/2024, 09:34 AM

Zhipu AI Raises $411.82M Zhipu AI has raised $411.82 million as of December 17, 2024. The company co-developed the GLM-130B model, resulting in a dynamic knowledge engine termed the 'knowledge double wheel'. They also launched the cognitive model platform Bigmodel.ai, featuring products like CodeGeeX and CogView, which provide intelligent API services connecting users across various sectors. #ZhipuAI#Funding#AI#Bigmodel#GLM130B#CodeGeeX#CogView#API#Tech#KnowledgeMap#CognitiveModels#Intelligence#DigitalHumans#MachineLearning#DataScience#Innovation#Research#TechFunding#Startups#Development