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The app has over 20+ AI tools like question answerer, essay writer, photo analyzer, and more. Do more on your own with Class Ace. Learn new skills, get help with homework assignments, write papers, ideate, and even complete realtime web research in seconds. Features: • 20+ easy-to...
LLaMA 13B as sub-question answerer AlgorithmDistillGPTGPT-2 smallGPT-2 mediumAverage BC 0.184 0.212 0.247 0.214 Filtered BC 0.194 0.230 0.245 0.223 ILQL-sparse 0.180 0.207 0.250 0.212 ILQL-full 0.182 0.210 0.252 0.215 ChatGPT - - - 0.353 Mistral as sub-question answerer AlgorithmDistillGPTGPT...
My point is that even early on some people were not naively copying and pasting answers from ChatGPT to Stack Overflow. The answer in question was deleted a few days later under the temporary policy that banned ChatGPT. The incentives created by the ban would also encourage more edits to h...
For example, we can easily extract question answers given context: >>> from transformers import pipeline # Allocate a pipeline for question-answering >>> question_answerer = pipeline('question-answering') >>> question_answerer({ ... 'question': 'What is the name of the repository ?', ....
>>> from transformers import pipeline # 使用問答 pipeline >>> question_answerer = pipeline('question-answering') >>> question_answerer({ ... 'question': 'What is the name of the repository ?', ... 'context': 'Pipeline has been included in the huggingface/transformers repository' .....
What makes Scribe an incredible AI answer generatorStarting off with Scribe’s AI Answer GeneratorStep 1: Capture your workflows with Scribe Step 2: Stop the captureStep 3: Build an AI-powered knowledge baseStep 4: Edit and Personalize Step 5: Share with your team or users! AI Answer Genera...
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Many NLP tasks have a pre-trainedpipelineready to go. For example, we can easily extract question answers given context: >>>fromtransformersimportpipeline# Allocate a pipeline for question-answering>>>question_answerer=pipeline('question-answering')>>>question_answerer({ ...'question':'What is...
Many NLP tasks have a pre-trainedpipelineready to go. For example, we can easily extract question answers given context: >>>fromtransformersimportpipeline# Allocate a pipeline for question-answering>>>question_answerer=pipeline('question-answering')>>>question_answerer({ ...'question':'What is...