AI for Frontend Developers — Day 38

📰 Medium · LLM

Learn how to apply chunking to make AI work with large texts, a crucial step for frontend developers working with AI-powered applications

intermediate Published 28 Apr 2026
Action Steps
  1. Split large texts into smaller meaningful parts using chunking
  2. Apply token limits to avoid cost explosions and bad answers
  3. Use chunking to break down texts into introductions, pricing, refund policies, and terms
  4. Implement chunking in your AI-powered application to improve its focus and accuracy
  5. Test and refine your chunking approach to optimize results
Who Needs to Know This

Frontend developers and AI engineers can benefit from this technique to improve the performance and efficiency of their AI-powered applications, especially when dealing with large texts

Key Insight

💡 Chunking is a crucial technique to break down large texts into smaller meaningful parts, allowing AI models to process and analyze them more efficiently

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💡 Chunking: the hidden step to make AI work with large texts! 🤖💬

Key Takeaways

Learn how to apply chunking to make AI work with large texts, a crucial step for frontend developers working with AI-powered applications

Full Article

Title: AI for Frontend Developers — Day 38

URL Source: https://medium.com/@rohitkuwar/ai-for-frontend-developers-day-38-4994971eefea?source=rss------llm-5

Published Time: 2026-04-28T02:31:01Z

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# AI for Frontend Developers — Day 38 | by Rohit Kuwar | Apr, 2026 | Medium

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# AI for Frontend Developers — Day 38

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AI for Frontend Developers — Week 6 Day 3

## The Hidden Step That Makes AI Actually Work (Chunking)

Yesterday, we built file upload and extracting the texts from the PDF. At first glance, it felt like:

> _“Done! AI can now read documents.”_

## 💀 Reality Check

Then I printed the extracted text…

20,000+ characters 😳
## The Problem

Can we send this entire text to AI?

**No ❌**

## Why?

### ❌ 1. Token Limits

AI models have limits (8k, 32k tokens)
### ❌ 2. Cost Explosion 💸

More text → more tokens → more cost
### ❌ 3. Bad Answers

Too much data → AI loses focus
## The Missing Piece → Chunking

Break large text into smaller meaningful parts
## Simple Definition

Chunking = splitting text into smaller pieces
## Example

### ❌ Before

[ Entire 50-page PDF ]
### ✅ After

Chunk 1 → Introduction

Chunk 2 → Pricing

Chunk 3 → Refund Policy

Chunk 4 → Terms
## Why Chunking Matter
Read full article → ← Back to Reads

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