No Libraries No Shortcuts: Reasoning Models from Scratch with PyTorch — Part 1

No Libraries No Shortcuts: Reasoning Models from Scratch with PyTorch — Part 1

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Author(s): Ashish Abraham Originally published on Towards AI. The no BS Guide to implementing LLMs with Mixture of Experts, RoPE, and Grouped Query Attention from scratch There is this term called “moment” that has been spooking and exciting AI investors of this decade. For some, it was about printing money like just as after the “ChatGPT moment” in late 2022, that eventually led to the stock market surviving on the magnificent 7 AI stocks to this day. For […]

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Drawbacks of Backpropagation

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Preliminaries ‘An Introduction to Backpropagation and Multilayer Perceptrons’ ‘The Backpropagation Algorithm’ Speed Backpropagation up 1 BP algorithm has been described in ‘An Introduction to Backpropagation and Multilayer Perceptrons’. And the implementation of the BP algorithm has been recorded at ‘The Backpropagation Algorithm’. BP has worked in many applications for many years, but there are too many drawbacks in the process. The basic BP algorithm is too slow for most practical applications that it might take days or even […]

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Polynomial Regression and Features-Extension of Linear Regression

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Priliminaries A Simple Linear Regression Least Squares Estimation Extending Linear Regression with Features1 The original linear regression is in the form: [ begin{aligned} y(mathbf{x})&= b + mathbf{w}^T mathbf{x}\ &=w_01 + w_1x_1+ w_2x_2+cdots + w_{m+1}x_{m+1} end{aligned}tag{1} ] where the input vector (mathbf{x}) and parameter (mathbf{w}) are (m)-dimension vectors whose first components are (1) and bias (w_0=b) respectively. This equation is linear for both the input vector and parameter vector. Then an idea come to us, if we set (x_i=phi_i(mathbf{x})) […]

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Updated Beatles Documentary Is a Fresh Reminder of the Power of Cultural Globalization

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Clark Packard Last week, Disney+ released a restored version of The Beatles Anthology, the landmark 1995 ABC eight-part documentary series that remains the closest thing to a definitive account of the band’s extraordinary journey. I binge-watched the updated Anthology over the Thanksgiving holiday weekend, which brought back memories of watching the original with my parents 30 years ago. Now I’m the parent, though my wife and four-year-old son were less enthusiastic about the marathon viewing sessions. Last year, I […]

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Adapt-Plan: A Hybrid Control Architecture for PEI-Guided Reliable Adaptive Planning in Dynamic Agentic Environments

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The field of agentic artificial intelligence is transitioning from reasoning-centric architectures toward systems explicitly designed for reliability under uncertainty. Current agent frameworks, while effective in controlled environments, exhibit cognitive rigidity—an inability to proactively correct planning trajectories when confronted with unexpected faults. This paper introduces Adapt-Plan, a foundational hybrid architecture that reformulates planning as a control-theoretic process by elevating the Planning Efficiency Index (PEI) from a post-hoc evaluation metric to a real-time control signal. Through dual-mode planning (strategic and […]

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Spectral Community Detection in Clinical Knowledge Graphs

Spectral Community Detection in Clinical Knowledge Graphs

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Introduction How do we identify latent groups of patients in a large cohort? How can we find similarities among patients that go beyond the well-known comorbidity clusters associated with specific diseases? And more importantly, how can we extract quantitative signals that can be analyzed, compared, and reused across different clinical scenarios? The information associated to […] The post Spectral Community Detection in Clinical Knowledge Graphs appeared first on Towards Data Science.

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Introducing aiclient-llm: One Python Client for All Your LLMs

Introducing aiclient-llm: One Python Client for All Your LLMs

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Introducing Aiclient-LLM: One Python Client for All Your LLMs The unified, minimal, and production-ready Python SDK for OpenAI, Anthropic, Google Gemini, xAI, and local LLMs — with built-in agents, resilience, and observability. aiclient banner Have you ever found yourself juggling multiple SDKs just to use different LLM providers? Writing separate code for OpenAI’s client, Anthropic’s SDK, Google’s API, and then trying to make them work together? If you’ve built production AI applications, you know the pain: different response formats, inconsistent error […]

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