DEV Community

Sachin Kr. Rajput profile picture

Sachin Kr. Rajput

Building production-grade AI systems: RAG pipelines, multi-agent architectures, and LLM-powered tools. Currently obsessed with: Agentic AI, VectorDBs, , and making AI actually work in production.

Location India Joined Joined on 
Generative vs Discriminative Models: The Artist Who Paints vs The Critic Who Points

Generative vs Discriminative Models: The Artist Who Paints vs The Critic Who Points

Comments
9 min read
The Curse of Dimensionality: Why More Features Can Destroy Your Model Instead of Saving It

The Curse of Dimensionality: Why More Features Can Destroy Your Model Instead of Saving It

Comments
9 min read
Cross-Validation: Why Testing Your Model Once Is Like Judging a Restaurant by a Single Bite

Cross-Validation: Why Testing Your Model Once Is Like Judging a Restaurant by a Single Bite

Comments
11 min read
L1 vs L2 Regularization: The Minimalist vs The Diplomat — Two Philosophies That Shape Your Model

L1 vs L2 Regularization: The Minimalist vs The Diplomat — Two Philosophies That Shape Your Model

Comments
10 min read
Regularization: The Art of Telling Your Model to Calm Down and Stop Overthinking

Regularization: The Art of Telling Your Model to Calm Down and Stop Overthinking

Comments
10 min read
Learning Rate: The One Number That Can Make or Break Your Entire Model

Learning Rate: The One Number That Can Make or Break Your Entire Model

Comments
10 min read
Batch vs Mini-Batch vs Stochastic Gradient Descent: Three Hikers, Three Strategies, One Mountain

Batch vs Mini-Batch vs Stochastic Gradient Descent: Three Hikers, Three Strategies, One Mountain

Comments
10 min read
Gradient Descent: How to Find the Lowest Point in a Valley While Completely Blindfolded

Gradient Descent: How to Find the Lowest Point in a Valley While Completely Blindfolded

Comments
10 min read
Loss Functions: The Brutally Honest Friend Your Model Desperately Needs

Loss Functions: The Brutally Honest Friend Your Model Desperately Needs

Comments
9 min read
Classification vs Regression: The Doctor Who Gives Answers vs The Doctor Who Gives Numbers

Classification vs Regression: The Doctor Who Gives Answers vs The Doctor Who Gives Numbers

Comments
9 min read
Parametric vs Non-Parametric Models: The GPS vs The Taxi Driver

Parametric vs Non-Parametric Models: The GPS vs The Taxi Driver

Comments
9 min read
Overfitting & Underfitting: Why Your Model Aced the Practice Test But Failed the Real Exam

Overfitting & Underfitting: Why Your Model Aced the Practice Test But Failed the Real Exam

Comments
10 min read
The Bias-Variance Tradeoff: Why Your Model is Either Too Dumb or Too Smart

The Bias-Variance Tradeoff: Why Your Model is Either Too Dumb or Too Smart

Comments
7 min read
The Three Musketeers of Machine Learning: A Journey from "What's ML?" to "I Get It!"

The Three Musketeers of Machine Learning: A Journey from "What's ML?" to "I Get It!"

Comments
9 min read
loading...