Llm that can read pdf

Llm that can read pdf. Jul 24, 2023 · PDF | This guide introduces Large Language Models (LLM) as a highly versatile text analysis method within the social sciences. Dec 14, 2023 · I'll show you how to build a powerful Query PDF Question Answering System application. Sep 3, 2023 · 2. 5/GPT-4 LLM can answer questions based on the content of the PDF. PyMuPDF, LLM & RAG - PyMuPDF 1. ️ Markdown Support: Basic markdown support for parsing headings, bold and italics. Preview component uses PDFObject package to render the PDF. Q: What software or tool can I use to read PDF files? Apr 28, 2023 · Put your time to better use than reading a lengthy PDF. However, having advanced legal knowledge gained through an LLM program can be beneficial in interpreting complex legal documents, including PDF files. 5 large language model, the same LLM Data Preprocessing: Use Grobid to extract structured data (title, abstract, body text, etc. For example, you can have the software list three pieces of information in your PDF, or have it summarize any page. 3 0 1 2 : v i X r a\n\nLayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis\n\nZejiang Shen1 ((cid:0)), Ruochen Zhang2, Melissa Dell3, Benjamin Charles Germain Lee4, Jacob Carlson3, and Weining Li5\n\n1 Allen Institute for AI shannons@allenai. May 20, 2023 · To display the entire prompt that is sent to the LLM, you can set the verbose=True flag on the load_qa_chain() method, which will print to the console all the information that is actually being sent in the prompt. Nellie Gustafsson, Principal PM Manager in Azure Data. ’ In the context of building LLM-related applications, chunking is the process of breaking down large pieces of text into smaller segments. As LLMs are easy-to-use, | Find, read and cite all the research Jul 31, 2023 · Author(s): Amir Jafari, Senior Product Manager in Azure Data. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 But to implement this, i need to understand how I can make the LLM understand the Excel or CSV, with this limitation of context. While the first method discussed above is recommended for chatting with most PDFs, Code Interpreter can come in handy when our PDF contains a lot of tabular data. This process bridges the power of generative AI to your Cost efficiency is another vital benefit of employing open-source LLMs. New LLM technology is constantly being developed for different uses. Adjustable Generation Length : Users can adjust parameters to customize the length of the generated content to satisfy different reading needs. Oct 19, 2023 · Layout aware chunking will propel LLM applications, especially RAG to the next level of usefulness. 9 documentation Contents Convert text, pdf, or almost anything to speech and mp3 audio with AI based life like voices. Multilingual LLM voices can naturally read documents in different 🔍 Visually-Driven: Open-Parse visually analyzes documents for superior LLM input, going beyond naive text splitting. In particular, recent work has conducted preliminary studies on the ability of LLM agents to autonomously hack websites. In addition, once the results are parsed we need to map them to the original tokens in the input text. So, either I have to wait for high context open source llm who is not specific such as mpt story writer, Or somehow use some database concept on top of the data before feeding it to llm Jun 21, 2019 · **LLM to Summarize PDF** PDF files can often contain a large amount of text, making it difficult and time-consuming to manually read and extract the necessary information. Examining the values under the context further, you can see that they are documents that each contain a chunk of the ingested page content. X. Next we use this base64 string to preview the pdf. Parsing and chunking results of ChatDOC PDF Parser on Case 1 (original document: [4]). Trained on massive datasets, their knowledge stays locked away after training. Claude can now do this in less 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 from llm_axe import read_pdf, find_most_relevant, split_into_chunks text = read_pdf A function calling LLM can be created with just 3 lines of code: Optimized Reading Experience: The LLM can generate easy-to-read content, making complex foreign literature easier to understand, thereby optimizing the user's reading experience. s c [\n\n2 v 8 4 3 5 1 . First we get the base64 string of the pdf from the File using FileReader. The PaLM 2 model is, at the time of writing this article (June 2023), available only in English. However, with the help of LLM (Latent Semantic Analysis), it is possible to quickly and accurately summarize PDF documents. It's set to 1 initially and then updated as we chat with the PDF. In the example below, we opened a PDF copy of a MakeUseOf article about prompting techniques for ChatGPT. Supposewe give an LLM the prompt “The first person to walk on the Moon was ”, and suppose extensive informative summaries of the existing works to advance the LLM research. Llama 3 models will soon be available on AWS, Databricks, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake, and with support from hardware platforms offered by AMD, AWS, Dell, Intel, NVIDIA, and Qualcomm. A PDF chatbot is a chatbot that can answer questions about a PDF file. 3. . 62 4,645 March 14, 2022 May 19, 2022 June 9, 2022 0. 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 Mar 12, 2024 · Furthermore, consider the remarkable advancements in artificial intelligence — such as chatbots that can write stories in seconds, and even software that can interpret medical reports. But you have to use Bing Chat from the Edge sidebar. You can see that you get both a final answer in the answer key of the results dict, and the context the LLM used to generate an answer. Langchain is a large language model (LLM) designed to comprehend and work with text-based PDFs, making it our digital detective in the PDF This web application is designed to make PDF content accessible and interactive. Copy Text From the PDF If you have a copy of the PDF on your computer, then the easiest way is to simply copy the text you need from the PDF. It's compatible with most PDFs, including those with many images, and it's lightning fast! Combined with an LLM, you can easily build a ChatPDF or document analysis AI in no time. It leverages advanced technologies to allow users to upload PDFs, ask questions related to the content, and receive accurate responses. Users can also engage with Big Dot for inquiries not directly related to their documents, similar to interacting with ChatGPT. st. 🎯In order to effectively utilize our PDF data with a Large Language Model (LLM), it is essential to vectorize the content of the PDF. %pip install llama-index openai pypdf Loading data and creating the index. First, we need to convert each page of the PDF to an image. In case you didn't know, Bing can access, read, summarize, or otherwise manipulate info from a PDF or any other document in the browser window, or any webpage as well. Kartavya Neema, Principal Applied AI Engineer in Azure Data. You can switch modes in the UI: Query Files: when you want to chat with your docs Search Files: finds sections from the documents you’ve uploaded related to a query LLM LLM Sherpa is a python library and API for PDF document parsing with hierarchical layout information, e. Best Labor Day deals still live in 2024 ChatPDF runs on OpenAI's GPT 3. Jul 2, 2024 · The LLM can translate the right answer found in an English document to Spanish 🤯. Hello! See above; I have a nearly-10k page PDF file and I'd really like to use an LLM to read it, summarize, point out patterns, or write a timeline. Powered by Langchain, Chainlit, Chroma, and OpenAI, our application offers advanced natural language processing and retrieval augmented generation (RAG) capabilities. Apr 24, 2024 · If you are using Apple MacBooks or Mac desktop computers you can also quickly and easily create PDFs using the print function to save documents into PDF format without the need to part with your Sep 21, 2023 · Image by the author. Function: ocr_image() Utilizes pytesseract for text extraction; Includes image preprocessing with preprocess_image() function: Reads PDF content and understands hierarchical layout of the document sections and structural components such as paragraphs, sentences, tables, lists, sublists. Use customer url for your private instance here. Mark Hamilton, Senior Software Engineer in Azure Data. You can also export these chats or share them by copying the link, thus conveying the information to your teammates or friends to boost your productivity. LayoutPDFReader is a fast reader that splits the text in PDFs into layout aware chunks and provides a convenient way for LLM developers to index and access and analyze different sections of the PDF. This can help to understand how it is working in the working in background, and what prompt is actually being sent to the OpenAI API. Front-end UIs for connecting to LLM backends. , the company name in a logo image). Apr 10, 2024 · Markdown Creation Details Selecting Pages to Consider. My goal is to somehow run a system either locally or in a somewhat cost-friendly online method that can take in 1000s of pages of a PDF document and take down important notes or mark down important keywords/phrases inside the PDF documents. Jul 31, 2023 · Well with Llama2, you can have your own chatbot that engages in conversations, understands your queries/questions, and responds with accurate information. 5-f32. \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 We are installing pypdf so that we can read and convert PDF files. Aydan Aksoylar, Senior Applied AI Engineer in Azure Data. The code snippets I provided above can be easily changed out for your own use cases and I encourage everyone to try applying this to tons of other use cases. The LLM model will pick up a collection of a fraction of the input document that is related to the given query from the user and then answer the query by referring to the picked-up documents. The method described in this book for training and developing your own small-but-functional model for educational purposes mirrors the approach used in creating large-scale foundational models such as those behind ChatGPT. ,2023;Bran et al. g. We will use the SimpleDirectoryReader to read it and then convert it into an index using the TreeIndex. In contrast, open-source LLMs on an NVIDIA A100 cost approximately 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. 30/day. It is in this sense that we can speak of what an LLM “really” does. ,2020). For large-scale use (millions of requests/day), it can quickly rise to $1,300/day. \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 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. 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. However, integrating Jun 15, 2024 · Hopefully you found this post helpful and interesting. , document, sections, sentences, table, and so on. This article provides an informative guide on how to […] Jul 9, 2023 · You can ask questions to get answers from your PDF via this simple interface. We used Microsoft Edge to open it, and then we highlighted the relevant text and copied it to 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. Usage of LlamaIndex abstractions such as LLM, BaseEmbedding or VectorStore, making it immediate to change the actual implementations of those abstractions. I was developing a web application for chatting with PDF files, capable of processing large documents, above 1000 pages. PDF to Image Conversion. Open up a PDF in your browser (it doesn't even have to be online, it can be a local file). It also takes page as prop to scroll to the relevant page. It’s an essential technique that helps Mar 2, 2024 · 3 min read · Mar 2, 2024-- Preparing PDF documents for LLM queries. However, when it comes to reading PDFs, LLMs face certain challenges due to the complex structure and formatting […] 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 Mar 12, 2024 · Top 5 open-source LLM backends, full table available here #3. Experiment with it in colab here. For small-scale use (thousands of requests/day), the OpenAI's ChatGPT API is relatively cost-effective at around $1. As shown in the “3 Visualization’’ part, it recognizes the mixed Aug 12, 2024 · Introduction. The tools discussed in Section 2 can handle basic queries using the pre-trained data of May 21, 2023 · 9 Dividends Our Board of Directors declared the following dividends: Declaration Date Record Date Payment Date Dividend Per Share Amount Fiscal Year 2022 (In millions) September 14, 2021 November 18, 2021 December 9, 2021 $ 0. This success of LLMs has led to a large influx of research contributions in this direction. 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. 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. 62 $ 4,652 December 7, 2021 February 17, 2022 March 10, 2022 0. markdown(''' ## About this application You can built your own customized LLM-powered PyMuPDF is a high-performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents. 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 Apr 30, 2020 · Q: How can I use an LLM to read PDF files? An LLM degree is not directly related to reading PDF files. Document(page_content='1 2 0 2\n\nn u J\n\n1 2\n\n]\n\nV C . OpenAI has also released the "Code Interpreter" feature for ChatGPT Plus users. You can pull the models by running ollama pull <model name>. These works encompass diverse topics such as architectural innovations, better training strategies, context length improvements, fine-tuning, multi-modal LLMs, robotics Oct 13, 2018 · Train LLM with PDF LLM, or Language Modeling with Latent Semantics, is a powerful tool for natural language processing tasks that can enable computers to understand text more effectively. Dec 19, 2023 · Figure 6. May 14, 2024 · By ingesting small tabular data from textual documents, we’ve seen how an LLM can understand the context of a table even when we tried to trick it by asking questions with wrong information. 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. Main building blocks: May 11, 2023 · High-level LLM application architect by Roy. Jan 15, 2024 · 6 min read · Jan 15, 2024--3 PDF Document Parsing & Content Extraction. In just half a year, OpenAI’s ChatGPT has seamlessly integrated into our daily lives, transcending traditional tech boundaries. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. I have prepared a user-friendly interface using the Streamlit library. Trending. Simplicity, adding as few layers and new abstractions as possible. Aug 22, 2023 · Google Cloud Vision provides advanced OCR capability to extract text from scanned PDFs. We'll be harnessing the following tech wizardry: Langchain: Our trusty language model for making sense of PDFs. That way, we can achieve a more logical separation of the extracted text per source component, and it can sometimes help us to more easily retrieve information that usually appears in the specific component (e. 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. 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. But before starting a conversation with the document, I wanted the application to give the user a brief summary of the main topics, so it would be easier to start the interaction. 24. Even if you’re not a tech wizard, you can So, I've been looking into running some sort of local or cloud AI setup for about two weeks now. 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. 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. Generative AI models or Large Language Models (LLMs) have recently gained a &amp;hellip; &lt;p class Sep 13, 2023 · Photo by Henry Be on Unsplash Introduction. As such, the first challenge in order for an LLM to gain vision-language capabilities is that the language model needs to newly learn image tokens that can be appropriately interpreted and generated into coherent images. 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 Feb 3, 2024 · The PdfReader class allows reading PDF documents and extracting text or other information from them. In this article, we’ll reveal how to 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… Jul 12, 2023 · Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond. We have a directory named "Private-Data" containing only one PDF file. To achieve this, we employ a process of converting the An important limitation to be aware of with any LLM is that they have very limited context windows (roughly 10000 characters for Llama 2), so it may be difficult to answer questions if they require summarizing data from very large or far apart sections of text. This exciting progress is largely thanks to large language models (LLMs). Keywords: Large Language Models, LLMs, chatGPT, Augmented LLMs, Multimodal LLMs, LLM training, LLM Benchmarking 1. A multilingual Input: RAG takes multiple pdf as input. 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. LLM Sherpa is a python library and API for PDF document parsing with hierarchical layout information, e. Feb 24, 2024 · Switch between modes. znbang/bge:small-en-v1. They have been widely used in various applications such as natural language processing, machine translation, and text generation. Mar 23, 2024 · LLM stands for “Large Language Model,” referring to advanced artificial intelligence models like OpenAI’s GPT (Generative Pre-trained… Apr 11, 2024 · LLMs have becoming increasingly powerful, both in their benign and malicious uses. , In this book, I'll guide you through creating your own LLM, explaining each stage with clear text, diagrams, and examples. The “-pages” parameter is a string consisting of desired page numbers (1-based) to consider for markdown conversion. org 2 Brown University ruochen zhang 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 Databricks Inc. 62 4,632 June 14, 2022 August 18, 2022 September 8 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. ,2023). 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 The most quintessential llm application is a chat with text application. These LLM agents can reportedly act as software engineers (Osika,2023;Huang et al. 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. Oct 24, 2019 · LLMs, or Language Model Models, are powerful AI models that have been trained to understand and generate human language. The application allows users to upload PDF documents, after which a chatbot powered by GPT-3. One popular method for training LLM models is using PDF files, which are widely available and contain a wealth of information. ,2023) and aid in scientific discovery (Boiko et al. Get started here. Whether you're a student, researcher, or professional, this chatbot can simplify your access to information within PDF documents. Ready to use, providing a full implementation of the API and RAG pipeline. With the increase in capabilities, researchers have been increasingly interested in their ability to exploit cybersecurity vulnerabilities. Now, here’s the icing on the cake. Apr 15, 2024 · Method II. First, we Sep 15, 2023 · 3 min read · Sep 16, 2023--4 Prompts: Template-based user input and output formatting for LLM models; Indexes: Gradio provides UI where you can upload pdf path and summary will be displayed. 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. Supported document types include PDF, DOCX, PPTX, XLSX, and Markdown. read_pdf (path_or_url, contents = None) ¶ Reads pdf from a url or path Dot allows you to load multiple documents into an LLM and interact with them in a fully local environment. Something I didn’t cover was combining multiple PDF documents, but that can be easily done with adjustments to the PDF parsing code. Next, download and install Ollama and pull the models we’ll be using for the example: llama3. May 19, 2023 · By adopting a VQ-GAN framework in which latent representations of images are treated as a kind of text tokens, we present a novel method to fine-tune a pre-trained LLM to read and generate images Yes, Reader natively supports PDF reading. Apr 18, 2024 · Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. Multiple page number May 12, 2023 · The average person can read 100,000 tokens of text in ~5+ hours, and then they might need substantially longer to digest, remember, and analyze that information. Text extraction: Begin by converting the PDF document into plain text. Easily upload your PDF files and engage with our intelligent chat AI to extract valuable insights and answers from your documents to help you make informed decisions. Once everything is in place, we are ready for the code: 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. 0 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. 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. 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: Nov 2, 2023 · A PDF chatbot is a chatbot that can answer questions about a PDF file. Here's how. Jul 12, 2023 · Chronological display of LLM releases: light blue rectangles represent 'pre-trained' models, while dark rectangles correspond to 'instruction-tuned' models. 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。 Mar 31, 2023 · Language is essentially a complex, intricate system of human expressions governed by grammatical rules. However, not much is known about the ability for LLM agents in the realm of Our goal is that the LLM is instructed to generate a CXR image or a report with text instruction prompts. Whether you’re a student, researcher, or professional, chances are you The preparation program will read a PDF file and generate a database (vector store). Fugaku-LLM: 2024/05: Fugaku-LLM-13B, Fugaku-LLM-13B-instruct: Release of "Fugaku-LLM" – a large language model trained on the supercomputer "Fugaku" 13: 2048: Custom Free with usage restrictions: Falcon 2: 2024/05: falcon2-11B: Meet Falcon 2: TII Releases New AI Model Series, Outperforming Meta’s New Llama 3: 11: 8192: Custom Apache 2. Then the Vision API can detect text in each May 2, 2024 · May 2, 2024. This open-source project leverages cutting-edge tools and methods to enable seamless interaction with PDF documents. In this article, we will […] We built AskYourPDF as the only PDF AI Chat App you will ever need. The core focus of Retrieval Augmented Generation (RAG) is connecting your data of interest to a Large Language Model (LLM). VectoreStore: The pdf's are then converted to vectorstore using FAISS and all-MiniLM-L6-v2 Embeddings model from Hugging Face. 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. It seems that we have reached a ceiling in terms of what we can achieve with the commonly used pretraining paradigms. 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 Jul 24, 2024 · python -m venv venv source venv/bin/activate pip install langchain langchain-community pypdf docarray. For text-based PDFs, this is straightforward 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 Jun 10, 2023 · Streamlit app with interactive UI. 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. 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 in LLM agents, that can take actions via tools, self-reflect, and even read documents (Lewis et al. Parameters: parser_api_url (str) – API url for LLM Sherpa. We're combining the forces of Apache Cassandra, DataStax's Astra DB as May 19, 2023 · View a PDF of the paper titled LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation, by Suhyeon Lee and 3 other authors View PDF HTML (experimental) Abstract: Following the impressive development of LLMs, vision-language alignment in LLMs is actively being researched to enable multimodal reasoning and visual IO. This project capitalizes on this trend by creating an interactive PDF reader using LangChain and Streamlit. Introduction Language plays a fundamental role in facilitating commu-nication and self-expression for humans, and their interaction with machines. Which requires some prompt engineering to get it right. ) from the PDF files. However, these studies are limited to simple Feb 7, 2023 · In recent years, we have seen many relatively capable large language models that can generate realistic texts (for example, GPT-3 and Chinchilla, among others). Zoom in to see the details. 2. The application uses the concept of Retrieval-Augmented Generation (RAG) to generate responses in the context of a particular Jun 18, 2023 · def get_pdf_text(pdf_files): text = "" for pdf_file in pdf_files: reader = PdfReader(pdf_file) By leveraging an LLM with a higher token limit, we can enhance the accuracy and comprehensiveness Okay, let's get a bit technical first (just a smidge). anelkj targ teft uhjzmd jjovq sil gopdd lqjyf shz meeprx