Ch.2: LangChain Components: The Six Building Blocks
A map of LangChain before writing real code: models, prompts, chains, indexes, memory, and agents. What problem each component solves, what breaks without it, and what each one looks like in current LangChain 1.x.
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Ch.2: LangChain Components: The Six Building Blocks
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Deep Learning
How neural networks actually learn, from perceptrons and backpropagation to the architectures behind modern deep learning.
Generative AI using LangChain
Building real generative AI applications with LangChain, from models, prompts, and chains to RAG pipelines, tool calling, and AI agents.
Fundamental Machine Learning
Exploring the foundations of machine learning, from basic algorithms to advanced neural networks.
Machine Learning Algorithms
A deep dive into how core machine learning algorithms actually work, from linear regression to ensemble methods.
Networking Fundamentals
A beginner-to-advanced series on how computer networks actually work, from what happens during an HTTP request to DNS, IP addressing, and routing.
System Design Foundation
Building scalable systems, one concept at a time
Today I Learned
Unstructured notes, technical takeaways, and lightbulb moments from random technical videos and talks.