Questions tagged [nlp-question-answering]
Question Answering is the computer task of mechanically answering questions posed in natural language. (Please do not use this tag to indicate that you have a question and want an answer. That's already implied.)
nlp-question-answering
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How to evaluate LLM response [closed]
I am retrieving response using QWEN 72B model. I want to validate my response and don’t have ground truth answers. How can I evaluate my response without help of ground truth answers. I want to use ...
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Why faster_whisper model kills the kernel unexpectedly after running a few instances?
I am trying to convert few audio data into text data using OpenAI Whisper, though the larger-model accuracy is very good but it is very slow to process the audios. But then I found faster-whisper ...
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How do I create a question answering model in Huggingfaces that answers questions about my data?
I would like to develop a question-answering model with hugging interfaces that answers questions about my input data. Unfortunately, I'm quite new to Python and also to transformers, so I need some ...
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How to covert an input into a capitalized form in python? [duplicate]
Example
.lower() used in inputs to create the input into lower case is there the same kind of function for capitalized form?
I thought it would be something like .capitalize() but I turned out wrong. ...
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Getting a bounding box related error while using layoutLM model
resize = transforms.Resize((224, 224))
set_seed(0)
processor = AutoProcessor.from_pretrained("tiennvcs/layoutlmv2-base-uncased-finetuned-docvqa", apply_ocr=True)
tokenizer = AutoTokenizer....
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How to tune LLM to give full length and detailed answers [closed]
I am building an application in which you can select an open source model from a list of models and ask it general questions. I am using searxng to search the web for context. While all of this is ...
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Implement few-shot inference for question-answering with DistilBERT
I am trying in-context-learning/ prompt-engineering with the DistilBERT model (using Python transformers pipeline) to answer a question from a given report (in reality, the amount is 8000+ reports). ...
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Why did my fine-tuning T5-Base Model for a sequence-to-sequence task has short incomplete generation?
I am trying to fine-tune a t5-base model for creating appropriate question against a compliance item. Compliance iteams are paragraph of texts and my question are in the past format of them. I have ...
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Why is LLMChain's answer being cut off? [closed]
I want to build a question-answering application using the Huggingface API with the Gemma model, but the answer provided by the model is being cut off. I've tried it on Google Colab and Kaggle ...
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Does ChatGPT parse the query first?
The spelling and grammar corrections that appear to take place within the ChatGPT system are pretty great... but it got me wondering if language model based question answering systems like these leave ...
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Issue with Passing Retrieved Documents to Large Language Model in RetrievalQA Chain
I'm currently enrolled in a course on Coursera where I'm learning to implement a retrieval-based question-answering (RetrievalQA) system in Python. The course provides code that utilizes the ...
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Error in retrieving document 'SentenceTransformer' object has no attribute 'default_prompt_name'
I will retrieve the relevant documents from the given query, but why does the error appear as shown in the image?
image of running results
import joblib
loaded_db = joblib.load('/content/drive/MyDrive/...
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why is langchain output not just the answer?
I'm making a question and answer system with retrievalQA langchain. However, the resulting output is not just an answer.
how to display only answers? is there something wrong in writing my code?
from ...
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What and how LLM is used for ranking organization job title?
Suppose there's a context like this
context = Andy is a vice manager of finance department. \n Rio is a general manager finance deparment. \n Jason is a general manager finance deparment.
question = ...
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Facing error to evaluate spider 1.0 dataset using orca-2-7B model, hugging face transformers
I am trying to evaluate Spider 1.0 dataset using Orca-2-7B model, hugging face transformer but this error is showing. Is that anything wrong in my code? I follow this instructions to run this "...
