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Skill Foundry – ARTIFICIAL INTELLIGENCE WITH PYTHON
INTRODUCTION 3
Setting Up AI Development Environment with Python 7
Understanding Machine Learning — The Heart of AI 11
Supervised Learning Deep Dive — Regression and Classification Models 16
Unsupervised Learning Deep Dive — Discovering Hidden Patterns 21
Neural Networks Fundamentals — Building Brains for AI 26
Project — Build a Neural Network to Classify Handwritten Digits 30
Deep Learning for Image Classification — CNNs Explained 33
Advanced Image Classification — Transfer Learning 37
Natural Language Processing (NLP) Basics with Python 41
Spam Detection Using Machine Learning 45
Deep Learning for Text Classification (with NLP) 48
Computer Vision Basics and Image Classification 51
AI for Automation: Files, Web, and Emails 56
AI Chatbots and Virtual Assistants 61 -
Eyeline Labs VChain – Chain-of-Visual-Thought for Reasoning in Video Generation for better AI physics
https://eyeline-labs.github.io/VChain/
https://github.com/Eyeline-Labs/VChain
Recent video generation models can produce smooth and visually appealing clips, but they often struggle to synthesize complex dynamics with a coherent chain of consequences. Accurately modeling visual outcomes and state transitions over time remains a core challenge. In contrast, large language and multimodal models (e.g., GPT-4o) exhibit strong visual state reasoning and future prediction capabilities. To bridge these strengths, we introduce VChain, a novel inference-time chain-of-visual-thought framework that injects visual reasoning signals from multimodal models into video generation. Specifically, VChain contains a dedicated pipeline that leverages large multimodal models to generate a sparse set of critical keyframes as snapshots, which are then used to guide the sparse inference-time tuning of a pre-trained video generator only at these key moments. Our approach is tuning-efficient, introduces minimal overhead and avoids dense supervision. Extensive experiments on complex, multi-step scenarios show that VChain significantly enhances the quality of generated videos.
FEATURED POSTS
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Photography basics: Shutter angle and shutter speed and motion blur
http://www.shutterangle.com/2012/cinematic-look-frame-rate-shutter-speed/
https://www.cinema5d.com/global-vs-rolling-shutter
https://www.wikihow.com/Choose-a-Camera-Shutter-Speed
Shutter is the device that controls the amount of light through a lens. Basically in general it controls the amount of time a film is exposed.
Shutter speed is how long this device is open for, which also defines motion blur… the longer it stays open the blurrier the image captured.
The number refers to the amount of light actually allowed through.As a reference, shooting at 24fps, at 180 shutter angle or 1/48th of shutter speed (0.0208 exposure time) will produce motion blur which is similar to what we perceive at naked eye
Talked of as in (shutter) angles, for historical reasons, as the original exposure mechanism was controlled through a pie shaped mirror in front of the lens.
A shutter of 180 degrees is blocking/allowing light for half circle. (half blocked, half open). 270 degrees is one quarter pie shaped, which would allow for a higher exposure time (3 quarter pie open, vs one quarter closed) 90 degrees is three quarter pie shaped, which would allow for a lower exposure (one quarter open, three quarters closed)
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