Apr 7 · 9 min read · The efficiency of an LLM memory access pattern directly determines an agent's ability to retrieve and use stored knowledge, impacting everything from conversational coherence to complex problem-solving. In 2023, a major AI research paper cited that o...
Join discussionOct 15, 2025 · 4 min read · Precision :→ Intuition :→ Imagine we are building a model that predicts whether the mail is spam or not , For e.g if my model predicts that my mail is spam . So how true that statement is , this is precision. In other words , we can say that out o...
Join discussionJul 14, 2025 · 3 min read · “A good model isn't just accurate — it's understood.”— Tilak Savani 🧠 Introduction After training a model, we can’t just stop at accuracy — especially when dealing with imbalanced datasets or real-world problems like spam detection, medical diagn...
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Apr 19, 2025 · 3 min read · Introduction: In the world of machine learning, selecting the right model for your dataset can often feel like a game of trial and error. For this blog, I’m diving into the Sonar rock vs mine classification problem, where I tested various machine lea...
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Dec 22, 2024 · 6 min read · [26] Introduction A Confusion Matrix is an N x N matrix used for evaluating the performance of a classification model, where N is the number of target classes. The matrix compares the actual target values with those predicted by the machine learning ...
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Dec 9, 2024 · 4 min read · We have already discussed accuracy as a metric, its limitations and confusion matrix in the previous post in the series. This post will cover the metrics that we can derive from confusion matrix and how they serve as a better alternative than looking...
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Nov 11, 2024 · 10 min read · Hi there, in this post, I will discuss the metrics that are used to evaluate how accurate machine learning models are. I hope that helps. You can use this page as a cheat sheet. At its core, what we all do when deriving a machine learning model is ma...
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Oct 14, 2024 · 7 min read · Machine learning, a subfield of artificial intelligence, empowers computers to learn from data and make decisions without being explicitly programmed. It is typically categorized into two main types: supervised learning and unsupervised learning. Sup...
Join discussionJul 20, 2024 · 3 min read · In the ever-evolving landscape of knowledge and information, our ability to learn and recall is crucial. One effective way to solidify learning is by connecting new information to existing knowledge or experiences. This not only reinforces our unders...
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