Keyword Analysis & Research: prompt tuning


Keyword Analysis

Keyword CPC PCC Volume Score Length of keyword
prompt tuning0.140.536437313
prompt0.310.91318896
tuning1.270.41658596

Keyword Research: People who searched prompt tuning also searched

Keyword CPC PCC Volume Score
prompt tuning1.50.1271523

Search Results related to prompt tuning on Search Engine

  • What is prompt tuning? | IBM Research Blog

    ibm.com

    https://research.ibm.com/blog/what-is-ai-prompt-tuning

    WebFeb 15, 2023 · What is prompt-tuning? Prompt-tuning is an efficient, low-cost way of adapting an AI foundation model to new downstream tasks without retraining the model and updating its weights. Learn how watsonx.ai can help create value for organizations as our next-generation enterprise studio for AI builders.

    DA: 38 PA: 57 MOZ Rank: 20

  • Introduction to Prompt Tuning | Niklas Heidloff

    heidloff.net

    https://heidloff.net/article/introduction-to-prompt-tuning/

    WebMar 3, 2023 · To learn more about Prompt Tuning, check out these resources: What is prompt-tuning? State-of-the-art Parameter-Efficient Fine-Tuning (PEFT) methods; A Good Prompt Is Worth Millions of Parameters; Learn Prompting; Pre-train, Prompt, and Predict; Prompting GPT-3 To Be Reliable

    DA: 26 PA: 65 MOZ Rank: 90

  • An Introduction to Large Language Models: Prompt Engineering and P-Tuning

    nvidia.com

    https://developer.nvidia.com/blog/an-introduction-to-large-language-models-prompt-engineering-and-p-tuning/

    WebApr 26, 2023 · Prompt engineering. P-tuning. Why use large language models? Chatbots are typically built with an ensemble of BERT models and a dialog manager. This method has some advantages such as smaller-sized models, which can result in lower latencies and compute requirements. This, in turn, is more cost-efficient. So why not use ensembles …

    DA: 42 PA: 42 MOZ Rank: 29

  • Prompt Tuning: A Powerful Technique for Adapting LLMs to New …

    medium.com

    https://medium.com/@shahshreyansh20/prompt-tuning-a-powerful-technique-for-adapting-llms-to-new-tasks-6d6fd9b83557

    WebOct 18, 2023 · Prompt tuning is a technique that allows for the adaptation of large language models (LLMs) to new tasks by training a small number of prompt parameters. The prompt text is added before the...

    DA: 25 PA: 96 MOZ Rank: 17

  • Prompt tuning - Hugging Face

    huggingface.co

    https://huggingface.co/docs/peft/main/en/package_reference/prompt_tuning

    WebIn this work, we explore “prompt tuning”, a simple yet effective mechanism for learning “soft prompts” to condition frozen language models to perform specific downstream tasks. Unlike the discrete text prompts used by GPT-3, soft prompts are learned through backpropagation and can be tuned to incorporate signal from any number of ...

    DA: 74 PA: 9 MOZ Rank: 99


  • The Power of Scale for Parameter-Efficient Prompt Tuning

    arxiv.org

    https://arxiv.org/abs/2104.08691

    WebApr 18, 2021 · In this work, we explore "prompt tuning", a simple yet effective mechanism for learning "soft prompts" to condition frozen language models to perform specific downstream tasks. Unlike the discrete text prompts used by GPT-3, soft prompts are learned through backpropagation and can be tuned to incorporate signal from any …

    DA: 91 PA: 92 MOZ Rank: 51

  • What is Prompt Tuning? - Unite.AI

    unite.ai

    https://www.unite.ai/what-is-prompt-tuning/

    WebMar 20, 2024 · What is Prompt Tuning? Updated on March 20, 2024. By. Antoine Tardif. Prompt tuning involves crafting and inputting a carefully designed text “prompt” into a Large Language Model (LLM). This prompt essentially guides the model's response, steering it toward the desired output style, tone, or content.

    DA: 47 PA: 8 MOZ Rank: 83

  • Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt

    aclanthology.org

    https://aclanthology.org/2022.acl-long.158/

    Web6 days ago · The core idea of prompt-tuning is to insert text pieces, i.e., template, to the input and transform a classification problem into a masked language modeling problem, where a crucial step is to construct a projection, i.e., verbalizer, between a label space and a label word space.

    DA: 94 PA: 9 MOZ Rank: 56

  • PTR: Prompt Tuning with Rules for Text Classification

    arxiv.org

    https://arxiv.org/abs/2105.11259

    WebMay 24, 2021 · Prompt tuning has achieved promising results on some few-class classification tasks such as sentiment classification and natural language inference. However, manually designing lots of language prompts is cumbersome and fallible.

    DA: 57 PA: 23 MOZ Rank: 85

  • GitHub - THUDM/P-tuning-v2: An optimized deep prompt tuning …

    github.com

    https://github.com/THUDM/P-tuning-v2

    WebOct 6, 2022 · main. README. Apache-2.0 license. P-tuning v2. Source codes and data for. [ACL 2022] P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks. [Findings of EMNLP 2023] Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers [Code]

    DA: 48 PA: 71 MOZ Rank: 51