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large language models like chats GPT are examples of foundation models large reusable models that have been trained on vast amounts of knowledge on the internet and theyamp;#39;re super flexible the same large language model can analyze illegal document or write a poem about my soccer team but what if we want to improve the performance of pre-trained llms or large language models to address a specialized task well until recently the best way to do that was using a method that is known as fine tuning now with fine tuning you gather and label examples of the target task lots and lots of examples and you fine tune your model rather than train an entirely new one from scratch but thereamp;#39;s a simpler far more energy efficient technique that has emerged in place of fine tuning and that is known as prompt tuning so what is prompt tuning well prompt tuning allows a company with limited data to tailor a massive model to a very narrow task and thereamp;#39;s no need for Gathering thousan
