What happens when LLM in-context learning scales to thousands of shots
bdtechtalks.substack.com
As the context windows of LLMs expand to millions of tokens, new properties emerge in the models. In their latest study, researchers at Google DeepMind experimented with "many-shot in-context learning" (ICL). According to their findings, when you fit hundreds and thousands of ICL examples into the prompt, you can continue to improve the model's performance on tasks that can't be solved with few-shot ICL and usually require fine-tuning.
What happens when LLM in-context learning scales to thousands of shots
What happens when LLM in-context learning…
What happens when LLM in-context learning scales to thousands of shots
As the context windows of LLMs expand to millions of tokens, new properties emerge in the models. In their latest study, researchers at Google DeepMind experimented with "many-shot in-context learning" (ICL). According to their findings, when you fit hundreds and thousands of ICL examples into the prompt, you can continue to improve the model's performance on tasks that can't be solved with few-shot ICL and usually require fine-tuning.