# Which LLM should developers learn first?

**URL:** <https://forum.guvi.in/t/which-llm-should-developers-learn-first/667>\
**Category:** General\
**Tags:** ai-ml\
**Created:** [July 8, 2026, 10:44am UTC](https://forum.guvi.in/t/which-llm-should-developers-learn-first/667 "2026-07-08T10:44:03Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![astha37422](https://avatars.discourse-cdn.com/v4/letter/a/8edcca/32.png) [@astha37422](https://forum.guvi.in/u/astha37422)\
**Post date:** [July 8, 2026, 10:44am UTC](https://forum.guvi.in/t/which-llm-should-developers-learn-first/667/1 "2026-07-08T10:44:03Z")

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I’ve been seeing so many different LLMs being used these days, and it’s a bit overwhelming. If someone is just getting started, which LLM do you think is the best one to learn first? I’d love to hear what others would recommend and why.

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**Author:** ![samiralimd45473](https://avatars.discourse-cdn.com/v4/letter/s/ecccb3/32.png) [@samiralimd45473](https://forum.guvi.in/u/samiralimd45473)\
**Post date:** [July 8, 2026, 11:33am UTC](https://forum.guvi.in/t/which-llm-should-developers-learn-first/667/2 "2026-07-08T11:33:00Z")

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For beginners, I’d recommend starting with GPT because it has excellent documentation, a large community, and plenty of tutorials and tools available. Once you’re comfortable with prompting, APIs, and building simple applications, you can explore other models like Claude, Gemini, or open-source options such as Llama. The core concepts transfer across most LLMs, so learning one well makes it much easier to work with others.

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**Author:** ![abhishekpati25037632](https://yyz1.discourse-cdn.com/flex033/user_avatar/forum.guvi.in/abhishekpati25037632/32/86_2.png) [@abhishekpati25037632](https://forum.guvi.in/u/abhishekpati25037632)\
**Post date:** [July 12, 2026, 1:45pm UTC](https://forum.guvi.in/t/which-llm-should-developers-learn-first/667/3 "2026-07-12T13:45:44Z")

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If you’re just getting started, I’d recommend learning **ChatGPT** first because it has the **largest ecosystem** , excellent documentation, and plenty of tutorials. More importantly, focus on learning **prompting** , **reasoning** , and how to integrate LLMs into real applications rather than getting attached to one specific model. Those skills transfer across almost every modern LLM.

It’s also worth trying models like **Gemini** , **Claude** , and **Llama** to understand their strengths. Some are better at **coding** , others at **long-form writing** or handling large contexts. The harsh truth is that many beginners waste time comparing models instead of actually building projects with them.

If I were giving advice over coffee, I’d say **pick one model, build a few real projects, then explore the rest**. The AI landscape changes so quickly that today’s “best” model might not be the leader six months from now. Your ability to **solve problems** with LLMs will matter far more than knowing every model on the market.