Скачать с ютуб Chat with PDF using langchain | Python в хорошем качестве

Chat with PDF using langchain | Python

Langchain Question Answering . "Build a ChatGPT-Powered PDF Assistant using #langchain and PyTorch | Step-by-Step Tutorial" In this comprehensive tutorial, you'll embark on a project-based journey where we leverage #LangChain and #PyTorch to develop an interactive assistant for your PDF documents. Using the power of an Advanced Large Language Model (#LLM), we'll create an application that enables you to ask questions about PDFs and receive accurate answers. You'll learn how to load and process #PDFs, split text into manageable chunks, #generate #embeddings, and build a conversational retrieval system. This hands-on guide will equip you with the skills to harness the capabilities of modern AI for efficient document analysis and interaction. Code : https://github.com/python-code-camp/C... This Chat with PDF langchain project demonstrates how to utilize a Large Language Model (LLM) to process and understand PDF documents for question-answering tasks. The implementation leverages several powerful libraries to achieve this: Torch: For leveraging GPU acceleration in machine learning tasks. Langchain: A suite of tools for loading documents, splitting text, generating embeddings, and more. HuggingFace Embeddings: For creating semantic representations of text. Chroma: For building a vector store that enables efficient similarity-based retrieval. LlamaCpp: An LLM used for generating answers based on the processed text. Conversational Retrieval Chain: For maintaining context and generating accurate responses during interaction. Key Features Device Adaptation: Automatically uses CUDA-enabled GPU if available, otherwise falls back to CPU. Document Loading: Loads and processes PDF documents to prepare for analysis. Text Splitting: Efficiently splits large texts into manageable chunks. Embeddings and Vector Store: Utilizes HuggingFace embeddings and Chroma vector store for efficient information retrieval. Conversational Interface: Engages users in a Q&A session using the LLM with context-aware responses. #chatgpt #langchain #largelanguagemodels #llm #llama #python #chatbot #huggingface #AdvancedLLM #PDFAssistant #langchain #pytorch #largelanguagemodel #aitutorial #PDFQuestionAnswering #machinelearning #aidevelopment #naturallanguageprocessing #conversationalai #documentanalysis #aiprojects #stepbysteptutorial #nlp #datascience #aichatbot #techtutorial #pythonprogramming #huggingface #ChromaVectorStore #DocumentLoader #TextSplitting #interactiveai #aiforbeginners #aitools #PDFProcessing #learningai #AIModels