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Fine-tuning a GPT — Prefix-tuning, by Chris Kuo/Dr. Dataman

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In this and the next posts, I will walk you through the fine-tuning process for a Large Language Model (LLM) or a Generative Pre-trained Transformer (GPT). There are two prominent fine-tuning…

Understanding Parameter-Efficient LLM Finetuning: Prompt Tuning

List: Gpt, Curated by Jack Crowley

Classes as Priors: a simple model of Bayesian conditioning for

List: GPT_LALM_MMLU, Curated by Shashank Sahoo

Alternative for fine-tuning? Prefix-tuning may be your answer

Understanding Parameter-Efficient LLM Finetuning: Prompt Tuning And Prefix Tuning

What is the specification for: 'num_virtual_tokens:20? @chris

Parameter Efficient Fine, PDF

Understanding Parameter-Efficient LLM Finetuning: Prompt Tuning

The data that those large language models were built on

Chris Kuo/Dr. Dataman – Medium

A Tutorial on the Open-source Lag-Llama for Time Series

Fine-tuning GPT-4 to produce user friendly data explorations (r

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