• views: 118
• date: 2 February 2026
• posted by: 0nelove

Llama has become the most popular open-source LLM, with millions of downloads. This course will teach you how to run Llama models locally, build document Q&A systems, and customize models for your needs, without paying for expensive cloud APIs.
What you'll learn
Privacy regulations and data sensitivity often prevent companies from using cloud-based AI services. In this course, Introduction to Llama, you'll learn to deploy Meta's powerful open-source language models entirely on local hardware.
First, you'll explore the Llama family evolution from research-only models to commercial-friendly releases, understanding critical licensing considerations for different versions.
Next, you'll discover how to run Llama 3.1 8B locally using Ollama on consumer GPUs and integrate it into Python applications.
Finally, you'll learn how to build a retrieval-augmented generation (RAG) system that answers questions in your documents and understands when fine-tuning makes sense vs. using RAG.
When you're finished with this course, you'll have the skills and knowledge of Llama deployments needed to build privacy-preserving AI applications that run entirely on your infrastructure.




   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.