---
title: "AI engineering requires no academia or ML – just problem-solving"
url: https://daily.dev/posts/ai-engineering-requires-no-academia-or-ml-just-problem-solving-ubj0cwcsm
source_url: https://shiftmag.dev/ai-engineering-tejas-kumar-4216/
type: article
source: "Community Picks"
published: 2024-09-11T12:57:20.677Z
updated: 2024-12-11T12:21:42.885Z
tags: ["ai", "machine-learning", "privacy", "data-processing"]
reading_time: 3
upvotes: 17
comments: 1
language: en
---

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# AI engineering requires no academia or ML – just problem-solving

**[Community Picks](https://daily.dev/sources/community)** · 3 min read · 17 upvotes · 1 comments

## Summary

AI engineering doesn't require academia or machine learning expertise. Tejas Kumar, an AI DevRel Engineer at DataStax, emphasizes that it involves applying AI to solve problems, often through AI API requests. Key techniques include fine-tuning transfer learning and optimizing model architecture to reduce costs. To mitigate AI hallucinations, Kumar recommends Retrieval-Augmented Generation (RAG), and to ensure privacy, running models locally using tools like LLVM or llama.cpp. More insights will be shared at the Shift Conference in Zadar.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://shiftmag.dev/ai-engineering-tejas-kumar-4216/>

## Community discussion

Top comments from developers on daily.dev.

**@isaacmathew** · 0 upvotes

> theoretically, yes, but then again, what is problem-solving is learning developed over time.

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#privacy](https://daily.dev/tags/privacy), [#data-processing](https://daily.dev/tags/data-processing)

[View this post on daily.dev](https://daily.dev/posts/ai-engineering-requires-no-academia-or-ml-just-problem-solving-ubj0cwcsm)
