Refining the Multiplier If the local model provides the 80% baseline, the Harness is the multiplier that gets us to 100%. To make the Infinite Feedback Loop efficient, we must refine the interface...
Reality Check For several weeks, I’ve been grinding on a harness to let local models handle software delivery. I didn’t want a one-off app generator; I wanted a reusable control system that empower...
The Core Philosophy: “Never Stop” Before we talk about architecture, we have to talk about the “Never Stop” rule. Most agents fail because they treat an error as a stop signal. In this harness, the...
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Topics Foundations Probability Space, Random Variables, Expectation, Variance Distributions Gaussian Distribution, Bernoulli, Binomial, Poisson, Exponential Family Estimation MLE (Max...
Topics Basic Methods Least Squares, Gradient Descent, Newton’s Method, Line Search Constrained Optimization Lagrange Multipliers, KKT Conditions Convexity Convex Function, Convex Set,...
Topics Manifolds (NLP) Geometric intuition, manifolds, word embeddings Projective Geometry (CV) Homogeneous Coordinates, Epipolar Geometry, Trifocal Tensor, Absolute Conic Camera Model...
Topics Common Mathematical Tools Taylor Expansion, SVD, Pseudoinverse, Gradient Descent, Backpropagation Study Resources & Scope Used to Study [1] Mathematics for Machine Learning - Deis...
Topics Univariate Calculus Limit, Differentiation, Chain Rule Multivariate Calculus Partial Derivatives, Gradient, Jacobian, Hessian Vector Calculus Directional Derivative, Taylor ...
Research Plan 1. Filling gaps in knowledge Multiview geometry Stereo Matching Review related research Review latest research 2. Design Experiment Dataset OpenSource? Algorithm/Mo...