Overview: AI concepts become easier to understand when explained through real examples and clear languageA mix of fundamental ...
Mistral’s local models tested on a real task from 3 GB to 32 GB, building a SaaS landing page with HTML, CSS, and JS, so you ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...
Roles that barely existed a few years ago, such as large language model (LLM) specialists, AI product leads and data pipeline ...
Abstract: Deep code models are vulnerable to adversarial attacks, making it possible for semantically identical inputs to trigger different responses. Current black-box attack methods typically ...
The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...
In 2025, AI education moved beyond traditional coding lessons, focusing more on real-world skills, creativity, and ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
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