Llm read pdf. May 23, 2023 · Large Language Models (LLMs) play powerful, black-box readers in the retrieve-then-read pipeline, making remarkable progress in knowledge-intensive tasks. It also contains frameworks for LLM training, tools to deploy LLM, courses and tutorials about LLM and all publicly available LLM checkpoints and APIs. I’m very familiar with the issues you’re experiencing and there is a solution. Jun 15, 2023 · In order to correctly parse the result of the LLM, we need to have a consistent output from the LLM such as a JSON. Which requires some prompt engineering to get it right. This success of LLMs has led to a large influx of research contributions in this direction. • The authors are mainly with Gaoling School of Artificial Intelligence and School of Information, Renmin University of China, Beijing, China; Jian-Yun Nie is with DIRO, Universite´ de Montreal,´ Canada. It uses OpenAI embeddings to create vector representations of the chunks. Users can upload PDFs, ask questions related to the content, and receive accurate responses. All-in-one desktop solutions offer ease of use and minimal setup for executing LLM inferences Sep 3, 2023 · 3. We also provide a step-by-step guide for implementing GPT-4 for PDF data extraction. Connect LLM OpenAI. However, the first method definitely works better for interacting with textual data in PDF files. The first thing to try is opening your PDF in Adobe Acrobat Pro and exporting to XML (specifically XML, not another format). A PDF chatbot is a chatbot that can answer questions about a PDF file. PyMuPDF is a high-performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents. Allows the user to ask questions to a LLM, which will answer based on the content of the provided PDFs. pdf_reader= PdfReader(pdf) for page in Oct 24, 2019 · Legal professionals should be aware of these limitations when relying on LLMs for PDF reading and consider manual review for critical documents. Multiple page number Jul 12, 2023 · Chronological display of LLM releases: light blue rectangles represent 'pre-trained' models, while dark rectangles correspond to 'instruction-tuned' models. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 The most quintessential llm application is a chat with text application. Oct 31, 2023 · In this tutorial, we'll learn how to use some basic features of LlamaIndex to create your PDF Document Analyst. Read a PDF file. May 25, 2024 · In the age of information overload, keeping up with the ever-growing pile of documents and PDFs can be a daunting task. Generative AI models or Large Language Models (LLMs) have recently gained a &hellip; <p class %PDF-1. Thanks for reading. Our results indicate that throughputs appropriate for sparse LLM inference Chat with your PDFs, built using Streamlit and Langchain. com Jan 23, 2024 · LLM Sherpa. Jul 2, 2024 · The LLM takes care of precisely finding the most relevant documents and using them to generate the answer right from your documents. PDF to Image Conversion. The LLM will not answer questions unrelated to the document. Jun 1, 2023 · By creating embeddings for each section of the PDF, we translate the text into a language that the AI can understand and work with more efficiently. Preview component uses PDFObject package to render the PDF. While textual This is a Python application that allows you to load a PDF and ask questions about it using natural language. This work introduces a new framework, Rewrite-Retrieve-Read instead of the previous retrieve-then-read for the retrieval-augmented LLMs from the perspective of the query rewriting. It utilizes the easyocr library for optical character recognition and fitz (PyMuPDF) for handling PDF files. These embeddings are then used to create a ‘vector database’ - a searchable database where each section of the PDF is represented by its embedding vector. Parameters: parser_api_url (str) – API url for LLM Sherpa. . In this section, we will process our input data to prepare it for retrieval. Question | Help. , document, sections, sentences, table, and so on. Simply prepend https://s. Supposewe give an LLM the prompt “The first person to walk on the Moon was ”, and suppose Jun 15, 2024 · Generating LLM Response. Convert the PDF Into a Text Document ChatGPT will happily read text, after all, the beating heart of any AI chatbot is a large language model (LLM). Mark Hamilton, Senior Software Engineer in Azure Data. Agents; Agents involve an LLM making decisions about which actions to take, taking that action, seeing an observation, and repeating that until done. ️ Markdown Support: Basic markdown support for parsing headings, bold and italics. We'll be harnessing the following tech wizardry: Langchain: Our trusty language model for making sense of PDFs. Mar 12, 2024 · Google Sheets of open-source local LLM repositories, available here #1. QA extractiong : Use a local model to generate QA pairs Model Finetuning : Use llama-factory to finetune a base LLM on the preprocessed scientific corpus. Even if you’re not a tech wizard, you can Sep 20, 2023 · 結合 LangChain、Pinecone 以及 Llama2 等技術，基於 RAG 的大型語言模型能夠高效地從您自己的 PDF 文件中提取信息，並準確地回答與 PDF 相關的問題。一旦 Nov 5, 2023 · Read a pdf file; encode the paragraphs of the file; querying which is user input question; Based on similarity choosing the right answer; and running the LLM model for the pdf. As we explained before, chains can help chain together a sequence of LLM calls. Li contribute equally to this work. Aug 12, 2024 · Introduction. This series intend to give you not only a quick start of learning about the framework but also to arm you with tools, and techniques outside Langchain Apr 28, 2023 · Now, ChatPDF is a free AI tool that's here to assist you with all of your PDF-reading needs. llms import OpenAI from langchain. It is trained on a massive dataset of text and code, and it can perform a variety of tasks. From students seeking guidance to writers honing their craft, individuals of all ages and professions have embraced its precision, speed, and remarkably human-like conversations. In today’s digital world, the ability to easily access and analyze PDF documents is becoming increasingly important. Kartavya Neema, Principal Applied AI Engineer in Azure Data. Let’s demystify the world of PDF data extraction together. This process bridges the power of generative AI to your data, Mar 2, 2024 · Best practices for leveraging LLMs in PDF querying. agents import load_tools from langchain. 🔍 Visually-Driven: Open-Parse visually analyzes documents for superior LLM input, going beyond naive text splitting. The second strategy leverages parallelized reads, utilizing the inherent parallelism within storage stacks and flash controllers. 2024-05-30: Reader can now read abitrary PDF from any URL! Check out this PDF result from NASA. While textual "data" remains the predominant raw material fed into LLMs, we also recognize that the context of text, along with its visual representations via tables 🔥 Large Language Models(LLM) have taken the NLP community AI community the Whole World by storm. May 27, 2024 · 實作LangChain RAG教學，可以讓LLM讀取PDF和DOC文件，達到客製化聊天機器人的效果。 RAG不用重新訓練模型，而且Dataset是你自己準備的，餵食LLM即時又 Sep 15, 2023 · 3 min read · Sep 16, 2023--4 Template-based user input and output formatting for LLM models; The summarize_pdf function accepts a file path to a PDF document and utilizes the PyPDFLoader Grounding is absolutely essential for GenAI applications. Jul 25, 2023 · Visualization of the PDF in image format (Image by Author) Now it is time to dive deep into the text extraction process! Pytesseract. 本项目是一个面向开发者的大模型手册，针对国内开发者的实际需求，主打 LLM 全方位入门实践。本项目基于吴恩达老师大模型系列课程内容，对原课程内容进行筛选、翻译、复现和调优，覆盖从 Prompt Engineering 到 RAG 开发、模型微调的全部流程，用最适合国内学习者的方式，指导国内开发者如何学习 First we get the base64 string of the pdf from the File using FileReader. gov vs the original. In this video, I'll walk through how to fine-tune OpenAI's GPT LLM to ingest PDF documents using Langchain, OpenAI, a bunch of PDF libraries, and Google Cola from llm_axe import read_pdf, find_most_relevant, split_into_chunks text = read_pdf PDF Document Reader Agent; Premade utility Agents for common tasks; May 30, 2023 · If you have a mix of text files, PDF documents, HTML web pages, etc, you can use the document loaders in Langchain. Multimodal models allow taking input as not just text but also images and soon several other data types. Keywords: Large Language Models, LLMs, chatGPT, Augmented LLMs, Multimodal LLMs, LLM training, LLM Benchmarking 1. Apr 15, 2024 · Thus, this method is good for interacting with tabular data, performing EDA, creating visualizations, and in general working with statistics. The application uses a LLM to generate a response about your PDF. Learn about the evolution of LLMs, the role of foundation models, and how the underlying technologies have come together to unlock the power of LLMs for the enterprise. This project contains Data Preprocessing: Use Grobid to extract structured data (title, abstract, body text, etc. So, I've been looking into running some sort of local or cloud AI setup for about two weeks now. In our case, it would allow us to use an LLM model together with the content of a PDF file for providing additional context before generating responses. Dec 16, 2023 · Large Language Models (LLMs) are all everywhere in terms of coverage, but let’s face it, they can be a bit dense. 2024-05-08: Image caption is off by default for better LLM itself, the core component of an AI assis-tant, has a highly specific, well-defined function, which can be described in precise mathematical and engineering terms. Zhou and J. We learned how to preprocess the PDF, split it into chunks, and store the embeddings in a Chroma database for efficient retrieval. Contextual awareness: Embed your queries within a clear context to guide the LLM’s focus. The final step in this process is feeding our chunks of context to our LLM to analyze and answer our questions. Reader allows you to ground your LLM with the latest information from the web. I tried to keep the list above nice and concise, focusing on the top-10 papers (plus 3 bonus papers on RLHF) to understand the design, constraints, and evolution behind contemporary large language models. LLM Sherpa is a python library and API for PDF document parsing with hierarchical layout information, e. 5 large language model, the same LLM behind ChatGPT. Nellie Gustafsson, Principal PM Manager in Azure Data. text_splitter import CharacterTextSplitter from langchain. Aug 22, 2023 · Using PDF Parsing Libraries. read more than needed (but in larger chunks) and then discard, rather than only reading strictly the necessary parts but in smaller chunks. ChatPDF runs on OpenAI's GPT 3. Apr 17, 2024 · Learn how to build a RAG (Retrieval Augmented Generation) app in Python that can let you query/chat with your PDFs using generative AI. We'll use the AgentLabs interface to interact with our analysts, uploading documents and asking questions about them. Unlike prior studies focusing on adapting either the The project is a web-based PDF question-answering chatbot powered by Streamlit, LangChain, and OpenAI's Language Learning Models (LLMs). Jul 31, 2023 · Author(s): Amir Jafari, Senior Product Manager in Azure Data. Nov 23, 2023 · main/assets/LLM Survey Chinese. It’s an essential technique that helps Jun 10, 2023 · Streamlit app with interactive UI. The “-pages” parameter is a string consisting of desired page numbers (1-based) to consider for markdown conversion. /2 w Ó s ì„ÈÀ Ar’ 9[/Ø. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. In this article, we explore the current methods of PDF data extraction, their limitations, and how GPT-4 can be used to perform question-answering tasks for PDF extraction. Another Github-Gist-like… Multi-Modal LLM using Anthropic model for image reasoning Multi-Modal LLM using Azure OpenAI GPT-4V model for image reasoning Multi-Modal LLM using DashScope qwen-vl model for image reasoning Multi-Modal LLM using Google's Gemini model for image understanding and build Retrieval Augmented Generation with LlamaIndex Feb 4, 2024 · a PDF which is a study guide and tried to get GPT to write mock exam questions based on the study guide but the quality is quite bad. Setting Up Your Environment. Further developments in LLM technology and improvements in PDF processing algorithms may address these limitations in the future. Read more about this new feature here. PdfReader is a Python class that converts PDF files into readable markdown text using OCR and a large language model (LLM) to improve the extracted text. This led me to think about an idea of using a multimodal model (GPT-4-vision) to take multiple views to a PDF as an input: texts, tables and page as image. Non-Standard Fonts and Formatting Mar 15, 2024 · The convergence of PDF text extraction and LLM (Large Language Model) applications for RAG (Retrieval-Augmented Generation) scenarios is increasingly crucial for AI companies. Note: I ran… Mar 18, 2024 · The convergence of PDF text extraction and LLM (Large Language Model) applications for RAG (Retrieval-Augmented Generation) scenarios is increasingly crucial for AI companies. This open-source project leverages cutting-edge tools and methods to enable seamless interaction with PDF documents. Now, here’s the icing on the cake. 9 documentation Contents Jul 12, 2023 · Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond. Mar 20, 2024 · A simple RAG-based system for document Question Answering. PyPDF2 provides a simple way to extract all text from a PDF. Function: ocr_image() Utilizes pytesseract for text extraction; Includes image preprocessing with preprocess_image() function: So, if you’re tired of PDF-induced headaches and ready to take charge, read on. It is in this sense that we can speak of what an LLM “really” does. May 2, 2024 · The core focus of Retrieval Augmented Generation (RAG) is connecting your data of interest to a Large Language Model (LLM). Langchain is a large language model (LLM) designed to comprehend and work with text-based PDFs, making it our digital detective in the PDF Feb 28, 2024 · They are related to OpenAI's APIs and various techniques that can be used as part of LLM projects. VectoreStore: The pdf's are then converted to vectorstore using FAISS and all-MiniLM-L6-v2 Embeddings model from Hugging Face. 🎯In order to effectively utilize our PDF data with a Large Language Model (LLM), it is essential to vectorize the content of the PDF. Function: convert_pdf_to_images() Uses pdf2image library to convert PDF pages into images; Supports processing a subset of pages with max_pages and skip_first_n_pages parameters; OCR Processing. However, integrating Jun 18, 2023 · Edit: If you would like to create a custom Chatbot such as this one for your own company’s needs, feel free to reach out to me on upwork by clicking here, and we can discuss your project right Feb 7, 2023 · Conclusion and Further Reading . In this tutorial, we will create a personalized Q&A app that can extract information from PDF documents using your selected open-source Large Language Models (LLMs). ai that searches on the web and return top-5 results, each in a LLM-friendly format. Apr 7, 2024 · Retrieval-Augmented Generation (RAG) is a new approach that leverages Large Language Models (LLMs) to automate knowledge search, synthesis, extraction, and planning from unstructured data sources… May 21, 2023 · Through this tutorial, we have seen how GPT4All can be leveraged to extract text from a PDF. Supported document types include PDF, DOCX, PPTX, XLSX, and Markdown. Feb 3, 2024 · The PdfReader class allows reading PDF documents and extracting text or other information from them. llm = OpenAI() chain = load_qa_chain(llm, For sequence classification tasks, the same input is fed into the encoder and decoder, and the final hidden state of the final decoder token is fed into new multi-class linear classifier. embeddings. We will do this in 2 ways: Extracting text with pdfminer; Converting the PDF pages to images to analyze them with GPT-4V Apr 10, 2024 · Markdown Creation Details Selecting Pages to Consider. For this final section, I will be using Ollama, which is a tool that allows you to use Llama 3 locally on your computer. Databricks Inc. Several Python libraries such as PyPDF2, pdfplumber, and pdfminer allow extracting text from PDFs. It means that LLMs pri-marily rely on internet sources as their training data, which are vast, diverse, and easily accessible, The application reads the PDF and splits the text into smaller chunks that can be then fed into a LLM. Mar 31, 2023 · Language is essentially a complex, intricate system of human expressions governed by grammatical rules. Introduction Language plays a fundamental role in facilitating commu-nication and self-expression for humans, and their interaction with machines. 1Introduction Large language models (LLM) are trained on data that predominantly come from publicly available internet sources, including web pages, books, news, and dialogue texts. Now the model will be able to read, summarize, analyze the text and answer questions in a few minutes! And also Anthropic’s Claud is focused mostly on safety. Apr 22, 2024 · Building off earlier outline, this TLDR’s loading PDFs into your (Python) Streamlit with local LLM (Ollama) setup. Here is a curated list of papers about large language models, especially relating to ChatGPT. These type of application uses a retrieval augmented generation (RAG) design pattern, where the application first retrieve the relevant texts from memory and then generate answers based on the retrieved text. Pytesseract (Python-tesseract) is an OCR tool for Python used to extract textual information from images, and the installation is done using the pip command: Without direct training, the ai model (expensive) the other way is to use langchain, basicslly: you automatically split the pdf or text into chunks of text like 500 tokens, turn them to embeddings and stuff them all into pinecone vector DB (free), then you can use that to basically pre prompt your question with search results from the vector DB and have openAI give you the answer Oct 18, 2023 · It’s crucial to remember that the quality of the context fed to an LLM is the cornerstone of an effective RAG, as the saying goes, ‘Garbage In — Garbage Out. It can do this by using a large language model (LLM) to understand the user's query and then searching the PDF file for the relevant information. The first step in using the LayoutPDFReader is Read it now on the O’Reilly learning platform with a 10-day free trial. Aydan Aksoylar, Senior Applied AI Engineer in Azure Data. 3 %Äåòåë§ó ÐÄÆ 3 0 obj /Filter /FlateDecode /Length 579 >> stream x TËn A ¼ÏW46Ø»!;žž÷\A\¸EZ)‡ÀÉ"â`# ÿ¿DõÌÆë ‡Ä–vçÑÝUÝUö ÝÑ 2ÚàÃÞgW 1 KÑgúýƒîé í>Ÿ˜ö'âú=í‘ ·Ç9ð jβÌáŸÂ úI Ï sö Fý ¦åL01—T,]ÀœO Æèä™S Êhçƒ)Yúädƒ/†¤ 4m99kóÔ ËV§à¹n tÞ. Although PDFs contain text, they aren’t easy to edit. Data preparation. It's set to 1 initially and then updated as we chat with the PDF. Trained on massive datasets, their knowledge stays locked away after training… Jun 12, 2024 · By reading the PDF data as text and then pushing it into a vector database, LLMs can be used to query the data in a natural language way making the analysis much easier. Retrieval-augmented generation (RAG) has been developed to enhance the quality of responses generated by large language models (LLMs). For further reading, I suggest following the references in the papers mentioned above. Nov 28, 2023 · You can use RetrievalQA to generate a tool. Next we use this base64 string to preview the pdf. Contact e-mail: batmanfly@gmail. vectorstores import Chroma Reads PDF content and understands hierarchical layout of the document sections and structural components such as paragraphs, sentences, tables, lists, sublists. agents import AgentType, Tool, initialize_agent from langchain. g. Just like below: from langchain. 3. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Use customer url for your private instance here. In just half a year, OpenAI’s ChatGPT has seamlessly integrated into our daily lives, transcending traditional tech boundaries. openai import OpenAIEmbeddings from langchain. read_pdf (path_or_url, contents = None) ¶ Reads pdf from a url or path May 27, 2024 · Output for parsed PDF : Output for non-parsed PDF: The query executed on parsed PDF gives a detailed and correct response that can be checked using the PDF data, whereas the query executed on non-parsed PDF doesn’t give the correct output. Nov 2, 2023 · Mistral 7b is a 7-billion parameter large language model (LLM) developed by Mistral AI. jina. Given the constraints imposed by the LLM's context length, it is crucial to ensure that the data provided does not exceed this limit to prevent errors. Jump to the Notebook and Code. Compared with traditional translation software, the PDF Reading Assistant has clear advantages. To achieve this, we employ a process of converting the 实现了一个简单的基于LangChain和LLM语言模型实现PDF解析阅读, 通过Langchain的Embedding对输入的PDF进行向量化， 然后通过LLM语言模型对向量化后的PDF进行解码， 得到PDF的文本内容,进而根据用户提问,来匹配PDF具体内容,进而交给语言模型处理,得到答案。 Input: RAG takes multiple pdf as input. \nThis approach is related to the CLS token in BERT; however we add the additional token to the end so that representation for the token in the decoder can attend to decoder states from the complete input Oct 13, 2018 · To train a LLM with a PDF, you will first need to convert the PDF into a text format, such as a plain text file, using an OCR (Optical Character Recognition) tool or library. Desktop Solutions. 4. LLM Sherpa provides strategic APIs to accelerate large language model (LLM) use cases. Feb 29, 2024 · Translating a PDF to markdown, allows a LLM to understand a document. The application uses the concept of Retrieval-Augmented Generation (RAG) to generate responses in the context of a particular Okay, let's get a bit technical first (just a smidge). These works encompass diverse topics such as architectural innovations, better training strategies, context length improvements, fine-tuning, multi-modal LLMs, robotics Jul 31, 2023 · 5 min read · Jul 31, 2023--7 With the recent release of Meta’s Large Language Model(LLM) Llama-2, the we load a PDF document in the same directory as the python application and prepare extensive informative summaries of the existing works to advance the LLM research. In Build a Large Language Model (From Scratch) , you'll learn and understand how large language models (LLMs) work from the inside out by coding them from the Feb 11, 2024 · Open Source in Action | Simple RAG UI Locally 🔥 Dot allows you to load multiple documents into an LLM and interact with them in a fully local environment. While the results were not always perfect, it showcased the potential of using GPT4All for document-based conversations. 2024-05-15: We introduced a new endpoint s. Once you have the text file, you can use various machine learning libraries or frameworks to train the LLM model using the converted text data. This way, you can always keep May 11, 2023 · High-level LLM application architect by Roy. Memory: Conversation buffer memory is used to maintain a track of previous conversation which are fed to the llm model along with the user query. Users can also engage with Big Dot for inquiries not directly related to their documents, similar to interacting with ChatGPT. ³N®¨6G—“N9 For sequence classification tasks, the same input is fed into the encoder and decoder, and the final hidden state of the final decoder token is fed into new multi-class linear classifier. Also users claim that interaction with their LLM gives more human feeling. \nThis approach is related to the CLS token in BERT; however we add the additional token to the end so that representation for the token in the decoder can attend to decoder states from the complete input Apr 30, 2020 · LLM to Read PDF. Powered by Langchain, Chainlit, Chroma, and OpenAI, our application offers advanced natural language processing and retrieval augmented generation (RAG) capabilities. Jul 24, 2024 · RAG is a technique that combines the strengths of both Retrieval and Generative models to improve performance on specific tasks. ’ In the context of building LLM-related applications, chunking is the process of breaking down large pieces of text into smaller segments. - ergv03/chat-with-pdf-llm Mar 23, 2024 · LLM stands for “Large Language Model,” referring to advanced artificial intelligence models like OpenAI’s GPT (Generative Pre-trained Transformer). If you prefer to use a different LLM, please just modify the code to invoke your LLM of Implement PDF upload functionality to allow the assistant to understand file input from users; Integrate the assistant with OpenAI’s GPT-3 model to give it a high level of intelligence and the ability to understand and respond to user requests (Optional) Understand how to deploy the PDF assistant to a web server for use by a wider audience May 19, 2023 · Previously, just reading such long texts could take about 5h. The application then finds the chunks that are semantically similar to the question that the user asked and feeds those chunks to the LLM to generate a response. The PDF Reading Assistant is a reading assistant based on large language models (LLM), specifically designed to convert complex foreign literature into easy-to-read versions. 24. PDF data screenshot showing the correct answer as per the query: Final Words enhanced PDF structure recognition. Compared to normal chunking strategies, which only do fixed length plus text overlapping , being able to preserve document structure can provide more flexible chunking and hence enable more Aug 12, 2024 · PDF extraction is the process of extracting text, images, or other data from a PDF file. pdf • * K. First, we May 20, 2023 · We’ll start with a simple chatbot that can interact with just one document and finish up with a more advanced chatbot that can interact with multiple different documents and document types, as well as maintain a record of the chat history, so you can ask it things in the context of recent conversations. chains import RetrievalQA from langchain. ) from the PDF files. Whether you’re a student, researcher, or professional, chances are you This repository contains the code for developing, pretraining, and finetuning a GPT-like LLM and is the official code repository for the book Build a Large Language Model (From Scratch). It also takes page as prop to scroll to the relevant page. The application reads the PDF and splits the text into smaller chunks that can be then fed into a LLM. PyMuPDF, LLM & RAG - PyMuPDF 1. As a major approach, language modeling has been widely studied for language understanding and generation in the past two decades, evolving from statistical language models to neural Feb 24, 2024 · Welcome to a straightforward tutorial of how to get PrivateGPT running on your Apple Silicon Mac (I used my M1), using 2bit quantized Mistral Instruct as the LLM, served via LM Studio. Before diving into the world of PDF data extraction, ensuring that your environment is primed is crucial. With the help of LLM (Language Model), reading PDFs becomes a breeze. In addition, once the results are parsed we need to map them to the original tokens in the input text. LLMs are huge text databases that AI chatbots reference to supply human-like responses. I have prepared a user-friendly interface using the Streamlit library. Batch processing: For large volumes of Using LLM to analyze large PDF/Text Documents and make notes/terms. ai/ to your query, and Reader will search the web and return the top five results with their URLs and contents, each in clean, LLM-friendly text. We will cover the benefits of using open-source LLMs, look at some of the best ones available, and demonstrate how to develop open-source LLM-powered applications using Shakudo. eltbagqeeyzacdqjlunjxrhqxwgsqeldwfbfjqxrynrgkjpni