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Standard Large Language Models (LLMs) are trained on a straightforward objective: Next-Token Prediction (NTP). By maximizing the probability of the immediate subsequent token , given the previous context, models have achieved remarkable fluency and...

Cyberattacks aren't any longer manual, linear operations. With AI now embedded into offensive strategies, attackers are developing polymorphic malware, automating reconnaissance, and bypassing defenses faster than many security teams can respond. This just isn't...

MODEL VALIDATION & OPTIMIZATIONStop using moving boxes to clarify cross-validation! those cross-validation diagrams in every data science tutorial? Those showing boxes in numerous colours moving around to clarify how we split data for training...

R-Squared is probably the most popular metrics to judge regression models. It’s taught in any statistics class and it’s certainly one of the metrics implemented in Scikit-learn.Nonetheless, some doubts have been raised in regards...

People use large language models for an enormous array of tasks, from...

Why we are able to’t arbitrarily encode categorical featuresIt’s well-known that many machine learning models can’t process categorical features natively. While there are some exceptions, it’s normally as much as the practitioner to come...

…and possible ways to repair itThis post talks about a selected issue of using bar charts to present aggregate group statistics using a wine quality dataset to supply hand-on examples. After illustrating the problem,...

Generate amazing images by learning how you can create higher Midjourney prompts.There are other aspect ratios you should utilize like 16:9, which is used for YouTube thumbnails, and 9:16, which replicates a selfie picture...