Reynolds 和 Donell,2021. Prompt programming for large language models: Beyond the few-shot paradigm. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA’21) Romera-Paredes 和 Torr,2015. An embarrassingly simple approach to zero-shot learning. In Proceedings...
The Power of Scale for Parameter-Efficient Prompt Tuning (April 2021) Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm (Feb 2021) Calibrate Before Use: Improving Few-Shot Performance of Language Models (Feb 2021) Prefix-Tuning: Optimizing Continuous Prompts for Generation ...
(opens in a new tab) (Feb 2023)Scalable Prompt Generation for Semi-supervised Learning with Language Models(opens in a new tab) (Feb 2023)Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints(opens in a new tab) (Feb 2023)À-la-carte Prompt Tu...
Active Prompting with Chain-of-Thought for Large Language Models(opens in a new tab) (Feb 2023) More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models(opens in a new tab) (Feb 2023) ...
The Power of Scale for Parameter-Efficient Prompt Tuning (April 2021) Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm (Feb 2021) Calibrate Before Use: Improving Few-Shot Performance of Language Models (Feb 2021) Prefix-Tuning: Optimizing Continuous Prompts for Generation ...
Towards Reasoning in Large Language Models: A Survey(Dec 2022) Reasoning with Language Model Prompting: A Survey(Dec 2022) Emergent Abilities of Large Language Models(Jun 2022) A Taxonomy of Prompt Modifiers for Text-To-Image Generation(Apr 2022) ...
Prompts for Large Language Models generally have limited size, depending on the language model being used. Given that prompt-engine can persist dialog history, it is possible for dialogs to get so long that the prompt overflows. The Prompt Engine pattern handles this situation by removing the ol...
Intro to Large Language Models by Andrej Karpathy. (YouTube video)[9] Prompt Engineering for Developers by Isa Fulford and Andrew Ng (Free online course)[10] How to Write Expert Prompts for LLMs by this bald dude (Full 16,000-word guide that includes 25+ prompting techniques, examples,...
The Power of Scale for Parameter-Efficient Prompt Tuning (April 2021) Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm (Feb 2021) Calibrate Before Use: Improving Few-Shot Performance of Language Models (Feb 2021) Prefix-Tuning: Optimizing Continuous Prompts for Generation ...
A distinctive characteristic of modern Large Language Models is their few-shot and zero-shot [2] learning capability, meaning they can adapt to new tasks without the need for further training, simply through examples or textual instructions (prompts). This is made possible by their deep ...