In this quiz, you’ll test your understanding of How to Integrate ChatGPT’s API With Python Projects. By working through this quiz, you’ll revisit how to send prompts with the openai library, guide behavior with developer role messages, and handle text and code outputs. You’ll also see how to integrate AI responses into your Python scripts for practical tasks. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your […]

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Hello guys, which library would be the best training a RL-Agent on different Environment spaces. I am working on a Scheduler, which schedules task to maschines. There are Dataset which contain for example 10 maschines and 50 operations and then 5 maschines and 20 operations. So my Gym Environment is changing based on different datasets. I get this error below when im using SB3: My Question ist, are there librarys that can deal with this? ValueError Traceback (most […]

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arXiv:2601.09716v1 Announce Type: new Abstract: Natural Language Processing (NLP) is rapidly transforming research methodologies across disciplines, yet African languages remain largely underrepresented in this technological shift. This paper provides the first comprehensive overview of NLP progress and challenges for the six national languages officially recognized by the Senegalese Constitution: Wolof, Pulaar, Sereer, Joola, Mandingue, and Soninke. We synthesize linguistic, sociotechnical, and infrastructural factors that shape their digital readiness and identify gaps in data, tools, and benchmarks. Building on […]

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I’m a graduate student working in machine learning and dynamical systems, and I’m trying to build a solid foundation (and bookshelf!) for deeper study and research. I’d love to hear what books people here consider essential or transformative when it comes to understanding both the theoretical and applied sides of ML. I’m especially interested in recommendations that cover topics like: Neural ODEs/PDEs/SDEs Physics-Informed Neural Networks (PINNs) Dynamical systems modeling and simulations with ML Applied mathematics approaches to deep […]

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arXiv:2510.03437v2 Announce Type: replace-cross Abstract: Kernel change-point detection (KCPD) has become a widely used tool for identifying structural changes in complex data. While existing theory establishes consistency under independence assumptions, real-world sequential data such as text exhibits strong dependencies. We establish new guarantees for KCPD under $m$-dependent data: specifically, we prove consistency in the number of detected change points and weak consistency in their locations under mild additional assumptions. We perform an LLM-based simulation that generates synthetic $m$-dependent […]

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The standard $varepsilon$–$delta$ definition of continuity is inherently quantitative, yet the precise dependence of the admissible radius $delta$ on the accuracy $varepsilon$ and the base point $x_0$ is rarely treated as an independent mathematical object. In this paper, we introduce the textit{radius of continuity} through two variants: the radius of pointwise continuity and the radius of uniform continuity, defined as explicit numerical invariants that capture the maximal symmetric neighborhood on which a real-valued function maintains a prescribed tolerance. […]

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arXiv:2601.00003v1 Announce Type: new Abstract: Large language models (LLMs) typically enhance their performance through either the retrieval of semantically similar information or the improvement of their reasoning capabilities. However, a significant challenge remains in effectively integrating both retrieval and reasoning strategies to optimize LLM performance. In this paper, we introduce a reasoning-aware knowledge retrieval method that enriches LLMs with information aligned to the logical structure of conversations, moving beyond surface-level semantic similarity. We follow a coarse-to-fine approach for […]

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