#63: Full of Frameworks: APDTFlow, NSGM, MLFlow, and more!
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we are introducing new frameworks through hands-on guides such as APDTFlow (addresses challenges with time series forecasting), NSGM (addresses variable selection and time-series network modeling), and …
Vector Databases 101: A Beginner’s Guide to Vector Search and Indexing
Author(s): Afaque Umer Originally published on Towards AI. Vector Databases 101: A Beginner’s Guide to Vector Search and Indexing Photo by Google DeepMind on Unsplash Introduction Alright, folks! Ever wondered how search engines find that one perfect cat meme out of a …
AlphaGeometry2: A Deep Dive into a Gold-Medalist AI Geometry Solver
Author(s): Jesus Rodriguez Originally published on Towards AI. I recently started an AI-focused educational newsletter, that already has over 175,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is …
Is Artificial Intelligence Ushering Cognitive Decline?
Author(s): Cezary Gesikowski Originally published on Towards AI. Impact of Cutting-Edge Intelligent Tech on Critical Thinking This member-only story is on us. Upgrade to access all of Medium. image by the author | digital / analog collage | © 2025 Cezary Gesikowski …
Mantic: Understanding the Evolution, Reinforcement, and Limits of Value Systems
Author(s): Cole Williams Originally published on Towards AI. Episode 1, Episode 2, Episode 3 Season Finale MLM demonstrates how local pattern disruptions — moments of innovation or insight — trigger sustainable value flows while preserving network-wide resilience. Through computational simulations and empirical …
Explaining Transformers as Simple as Possible through a Small Language Model
Author(s): Alex Punnen Originally published on Towards AI. And understanding Vector Transformations and Vectorizations This member-only story is on us. Upgrade to access all of Medium. I have read countless articles and watched many videos about Transformer networks over these past few …
Investigating Transformer Attention and Reinforcement Learning Dynamics Using Self‑Generated Structural Data
Author(s): Shenggang Li Originally published on Towards AI. Cracking the Code: Synthetic Data as the Key to Understanding and Enhancing LLMs This member-only story is on us. Upgrade to access all of Medium. Photo by Joshua Sortino on Unsplash Building large language …
How We Taught Machines to Think
Author(s): Vita Haas Originally published on Towards AI. And Occasionally Fail Spectacularly This member-only story is on us. Upgrade to access all of Medium. Artificial Intelligence is no longer lurking in the shadows — it’s in our pockets, powering our social feeds, …
#62 Will AI Take Your Job?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Yet another week, and reasoning models and Deepseek are still the most talked about in AI. We are joining the bandwagon with this week’s resources focusing on whether …
NN#6 — Neural Networks Decoded: Concepts Over Code
Author(s): RSD Studio.ai Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: Article by Pushkar In the previous article, we dissected the mechanics of backpropagation, gradient descent, and the pivotal role of the …
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