---
title: "Discussion on \"# From Counting to Neural Nets: \" | Hashnode"
description: "Discussion on \"# From Counting to Neural Nets: \". Building a Bigram Character Language Model with makemore"
url: "https://hashnode.com/posts/from-counting-to-neural-nets/6a43df34893797c1ba454368"
---

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# [\# From Counting to Neural Nets:](https://backpropdiaries.hashnode.dev/from-counting-to-neural-nets?utm_source=hashnode&utm_medium=feed)

Building a Bigram Character Language Model with makemore

Jun 30 · 8 min read · backpropdiaries.hashnode.dev  
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-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#language-model](https://hashnode.com/tag/language-model)
-   [#neural-network](https://hashnode.com/tag/neural-network)
-   [#python](https://hashnode.com/tag/python)
-   [#bigram](https://hashnode.com/tag/bigram)
-   [#deep-learning](https://hashnode.com/tag/deep-learning)

## Written by

[Sudhanshu Kumar](https://hashnode.com/@shadowbyte07)

@shadowbyte07 · Delhi, India

  
[View profile](https://hashnode.com/@shadowbyte07)

Let us learn and build AI.

2nd year CSE (AI specialization) student building things I wish existed. I work at the intersection of LLMs, agentic AI, and full-stack development. I've built a multimodal agentic system with triple-LLM orchestration, a RAG-based study companion with spaced repetition and knowledge graph visualization, a full-stack habit tracker with XP and analytics, and I'm designing Aira — a modular AI OS connecting 8+ specialized agents through a shared orchestration layer. On this blog I write about what I actually build and learn — technical deep-dives into RAG pipelines and LangGraph workflows, honest build logs of projects in progress, and tutorials on the AI/ML concepts I'm figuring out as I go. I believe the best way to understand something is to build it, break it, and then write about why it broke. Stack: Python • LangChain • LangGraph • Flask • React • FAISS • MongoDB • SQLite • AWS

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