自动学习的模板又可以分为离散(Discrete Prompts)和连续(Continuous Prompts)两大类。离散的主要包括 Prompt Mining, Prompt Paraphrasing, Gradient-based Search, Prompt Generation 和 Prompt Scoring;连续的则主要包括Prefix Tuning, Tuning Initialized with Discrete Prompts 和 Hard-Soft Prompt Hybrid Tuning。 三、...
Python A framework for prompt tuning using Intent-based Prompt Calibration synthetic-dataset-generationprompt-tuningprompt-engineering UpdatedNov 23, 2024 Python ClickPrompt - Streamline your prompt design, with ClickPrompt, you can easily view, share, and run these prompts with just one click. Click...
natural-language-processingdeep-learningtransformerspytorchinformation-extractionfew-shot-learningcode-understandinglarge-language-modelsprompt-based-learninginstruction-tuninghugchat UpdatedOct 31, 2023 Python wjn1996/HugNLP Star248 Code Issues Pull requests ...
最近我们组尝试了一种cross-modal prompt tuning，在图像端以涂色的形式建立visual sub-prompts，可以与te...
Add the following code to theconda.ymlfile to set up the fine-tuning environment for the Phi-3 model. name:phi-3-training-envchannels:-defaults-conda-forgedependencies:-python=3.10-pip-numpy<2.0-pip:-torch==2.4.0-torchvision==0.19.0-trl==0.8.6-transformers==4.4...
The visible tool options are LLM, Prompt, and Python. To view more tools, select + More tools. Select a connection and deployment in the LLM tool editor. In the Inputs section, add a value for the topic. For example, "atoms." Select Run to run the flow. The flow run status is ...
Azure CLI Python SDK sh Kopija pfazure run show-metrics --name <evaluation_run_name> Svarbu For more information, you can refer to the prompt flow CLI documentation for Azure. Iterative development from fine-tuning Local development and testing During iterative development, as you refine and...
There has been a growing effort to replace manual extraction of data from research papers with automated data extraction based on natural language processing, language models, and recently, large language models (LLMs). Although these methods enable effi
Prompt-MolOpt is a tool for molecular optimization; it makes use of prompt-based embeddings, as used in large language models, to improve the transformer’s ability to optimize molecules for specific property adjustments. Notably, Prompt-MolOpt excels in working with limited multiproperty data (...
Python thunlp/PromptPapers Star4.2k Code Issues Pull requests Must-read papers on prompt-based tuning for pre-trained language models. nlpmachine-learningaipromptprompt-toolkitbertpre-trained-language-modelsprompt-learningprompt-based UpdatedJul 17, 2023 ...