A Beginner's Guide to Understanding AI Model Jargon: Parameters, Quantization, and LLM Terminology
By
Ian Duncan
The bagel they save for the regulars. Don't skim, savour.
Summary
A beginner-friendly guide explaining the confusing jargon and technical parameters of local AI models, including model naming conventions (like Meta-Llama-3-8B-Instruct.Q4_K_M.gguf), quantization, mixture of experts (MoE), context windows, and other LLM terminology. The author shares their personal journey of confusion when first exploring Hugging Face and aims to demystify these concepts for other developers and enthusiasts.
Key quotes
· 3 pulledMeta-Llama-3-8B-Instruct.Q4_K_M.gguf
That was the moment I realized I had no idea what I was doing.
I've been using a number of AI tools for development purposes for a while now, but as I've started to get more ambitious about what I can do with them, I'm ending up in situations where I can't really justify
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