Understanding LLM Basics: Parameters, Tokens, Context
title : Understanding LLM Basics: Parameters, Tokens, Context
Understanding Parameters (Size Complexity), Context Size, Tokens, Temperature, Shots, Chain of thought (CoT) prompts, and Benchmarks (GSM8k, MMLU) in the context of AI Models
What do terms like temperature, shots, parameters eg. 7B, 13B, 70B, and Benchmarks (GSM8K, MMLU), CoT, Autoregressive LLMs etc. actually mean in the context of AI Models?