Understanding Large Language Models Series

Open Source vs. Proprietary LLMs: What's the Difference?

by Nat Currier 9 min read
AILarge Language ModelsOpen Source
SERIES

Understanding Large Language Models

Part 24 of 26
Previous The Illusion of Thinking in Large Language Models
Next Reference Resolution in LLMs: How AI Connects the Dots
Excerpt

Compare the advantages and limitations of open-source and proprietary LLMs, examining real-world examples like Llama, Mistral, and GPT-4 to understand which approach best fits different use cases.

SERIES

Understanding Large Language Models

Part 24 of 26
Previous The Illusion of Thinking in Large Language Models
Next Reference Resolution in LLMs: How AI Connects the Dots