All Questions
201 questions
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A Multiple Intent Query to Multiple Single Intent Query
Problem Description
I am designing an algorithm that inputs an string, looks in the Q&A dataset, and brings back the closest Q&A to our user query.
However, when the user sends a multiple-...
1
vote
1
answer
464
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Is there any flag to stop langgraph for further executing?
I want to create a interviewing bot that may ask 5 questions. The questions are specified in the system prompt. I just want the langgraph to stop execution when 5 certain questions are asked.
I tried ...
-1
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1
answer
35
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how to extract data from website including all of its internal links in Python
I want to extract all the information from a website including from its internal links for the purpose of ceating chatbot for this website . how can i do this ?
I have scrap the main site like https://...
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0
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102
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Fine-tuned LLaMA-2-Chat-HF Model Generates Same Responses as Pre-trained Model and Suitability for Retrieval-based Task
I am working on building a chatbot for substance abuse support. My approach involves two main steps:
Fine-tuning the LLaMA-2-Chat-HF model: I have fine-tuned the LLaMA-2-Chat-HF model using a dataset ...
1
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87
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chatbot memory problem for langchain using ConversationalRetrievalChain
i have build a chatbot on custom data using langchain, but the chatbot can not remember my previous questions, I found it difficult with the ConversationalRetrievalChain.
My code is as below:
`class ...
- 11
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124
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Hugging face; Problem with custom retriever in transformers library
I am trying to build a RAG-based Chatbot with Chain of Thought for WordPress Site. I am not very experienced with Hugging face. I am using API to retrieve the data for this.
Problem description:
I ...
- 29
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158
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AttributeError: 'Tensor' object has no attribute 'embed_documents'
I have uploaded PDF file and split file into chunks, then apply tokenizer to each chunck and created embeddings. But when i try to store my embedding in FIASS, it give me AttributeError: 'Tensor' ...
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61
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Understanding examples of Custom NER using spaCy
I am wanting to create my own custom Named Entity Recognition using spaCy. Whilst I understand the principles of the process and that I need 50-100 examples to train the model.
What I am struggling to ...
- 107
-1
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2
answers
2k
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Training a LLM to execute functions
I want develop a chatbot that is able to perform actions and answer questions in a given Smart Home environment.
I am curious how to do this with an LLM. How can I customize/train a model to execute ...
- 11
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176
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Adapters after QLoRA fine-tuning on a llama architecture model reach about 2 GB, which is very far from the general trend seen online
I was Fine Tuning a Llama Architecture Model that supports multiple languages: English, Hindi as well as Roman Hindi.
So, I loaded the model in quantized form using bitsandbytes in nf4 form along with ...
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2
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421
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ChatBot langchain, set memory+retriever+map_reduce
I am new on this topics.I'd like to get a chain that allows me to use a retriever ,a memory and to set the chain_type = 'map_reduce'.In addition to that I'd like to know if is it possible to use the ...
- 1
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1
answer
328
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combining falcon 40b instruct with langchain
I want to create a local LLM using falcon 40b instruct model and combine it with lanchain so I can give it a pdf or some resource to learn from so I can query it ask it questions, learn from it and ...
- 3
1
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0
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902
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Langchain Schema + langchain_openai errors (one resulting after completing the other)
I'm trying to do the following simple code:
from langchain.schema import HumanMessage, SystemMessage
from langchain_openai import ChatOpenAI
1] If I use it just after installing langchain and ...
- 104
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votes
2
answers
297
views
Create a multilingual chatbot
I created a chatbot using PyTorch an I want to make it support the French language. Note that I want to train the chatbot so that it can respond to technical questions.
One of the things that came to ...
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1
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1k
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Fine-tuning pretrained LLM using HuggingFace transformers throws "index out of range in self"
I am totally new to ML and learning as I go for a work project, where we are attempting to fine-tune a pretrained LLM using the company's data, which consists of magazine articles, podcast transcripts,...
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