At its core, ML involves algorithms that analyze data, recognize patterns, and make predictions. These models “learn” from past data to improve their performance over time. For example, an ML …
Tag:
learning
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AI News
How Machine Learning and Semantic Embeddings Rediscover CVE Vulnerabilities Beyond Raw CVSS Scores
def visualize_results(df, priority_scores, feature_importance): fig, axes = plt.subplots(2, 3, figsize=(18, 10)) fig.suptitle(‘Vulnerability Scanner – ML Analysis Dashboard’, fontsize=16, fontweight=”bold”) axes(0, 0).hist(priority_scores, bins=30, color=”crimson”, alpha=0.7, edgecolor=”black”) axes(0, 0).set_xlabel(‘Priority Score’) axes(0, 0).set_ylabel(‘Frequency’) …
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Author(s): Shahidullah Kausar Originally published on Towards AI. Machine Learning Interview Prep Part 10 Deep learning is a subset of machine learning that uses neural networks with multiple hidden layers …
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AI Tools
Nuss Research releases NussCoder-14b: a competitive Olympiad programming model, post-trained on QUEN3-14b via reinforcement learning.
Nous Research has introduced NousCoder-14B, a competitive Olympiad programming model that is trained on the Qwen3-14B using reinforcement learning (RL) with verifiable rewards. On the LiveCodeBench v6 benchmark, which covers …
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AI Tools
A Coding Guide to Demonstrating Targeted Data Poisoning Attacks in Deep Learning by Label Flipping on CIFAR-10 with PyTorch
In this tutorial, we demonstrate a realistic data poisoning attack by manipulating labels in the CIFAR-10 dataset and observing its impact on model behavior. We simultaneously build a clean and …
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AI Tools
Meet SETA: open source training reinforcement learning environment for terminal agents with 400 tasks and CAMEL toolkit
What does the end-to-end stack look like for terminal agents when you combine structured toolkits, synthetic RL environments, and benchmark aligned evaluations? A team of researchers from CAMEL AI, Eigent …
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Image by author , Introduction Learning AI today is not just about understanding machine learning models. It’s about knowing how things fit together in practice, from mathematics and fundamental principles …
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AI Basics
Why even reinforcement learning can’t beat casinos (and why I created a simulation to prove it)
Author(s): alopix Originally published on Towards AI. Mathematical and reinforcement learning tours through blackjack, poker, slot machines and roulette Casinos are one of the few environments where the rules are …
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In machine learning and data science, evaluating a model is as important as building it. Accuracy is often the first metric people use, but it can be misleading when the …
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Generative AI
Liquid AI’s LFM2-2.6B-Exp uses pure reinforcement learning RL and dynamic hybrid reasoning to optimize small model behavior
Liquid AI has introduced LFM2-2.6b-XP, an experimental checkpoint of its LFM2-2.6b language model trained with pure reinforcement learning on top of the existing LFM2 stack. The goal is simple, to …