To Data & Beyond

To Data & Beyond

Share this post

To Data & Beyond
To Data & Beyond
5 Challenges Come with Building LLM-Based Applications

5 Challenges Come with Building LLM-Based Applications

Youssef Hosni's avatar
Youssef Hosni
Aug 11, 2023
∙ Paid
2

Share this post

To Data & Beyond
To Data & Beyond
5 Challenges Come with Building LLM-Based Applications
1
Share

Developing LLM-based applications can offer effective solutions for various issues. However, it’s important to acknowledge and tackle potential challenges such as hallucinations, contextual promptness, dependability, efficient engineering, and security in order to fully utilize the potential of LLMs and ensure satisfactory performance for users. In this article, we will delve into these five critical factors that developers and practitioners must consider when creating LLM applications.

Photo by GR Stocks on Unsplash

Table of Contents:

  1. Hallucinations

  2. Choosing The Proper Context

  3. Reliability And Consistency

  4. Prompt Engineering Is Not the Future

  5. Prompt Injection Security Problem

Get 80% off forever

Keep reading with a 7-day free trial

Subscribe to To Data & Beyond to keep reading this post and get 7 days of free access to the full post archives.

Already a paid subscriber? Sign in
© 2025 Youssef Hosni
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture

Share