Use DeepSeek’s API, Gradio, & PyPDF to create a ChatGPT-like assistant that answers questions based on your PDF files
What you will learn
Building AI Agents
Build AI Agents Using Python and DeepSeek
Learn Basics of Gradio
Authentication Procedure for DeepSeek API Access
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
- Gain hands-on experience orchestrating a complete AI solution, from data ingestion to user interaction, providing a tangible, portfolio-ready project.
- Master the fundamental principles of Retrieval Augmented Generation (RAG), understanding how to intelligently fetch specific information from custom knowledge bases (your PDF files) before generating a response, thereby minimizing hallucinations and ensuring factual accuracy.
- Deep dive into parsing and preprocessing unstructured data from PDF documents using Python libraries, transforming raw text into a format suitable for efficient information retrieval.
- Learn the art of prompt engineering tailored for RAG systems, crafting effective queries to DeepSeek’s API that leverage retrieved context to generate precise, relevant, and helpful answers.
- Develop robust data management strategies for your document repository, including techniques for indexing, chunking, and vectorizing text data to enable rapid and accurate semantic search within your PDFs.
- Acquire practical skills in building interactive web interfaces with Gradio, allowing users to effortlessly upload documents, submit queries, and receive conversational responses from your custom AI assistant.
- Understand the critical aspects of API integration, including secure key management, handling API responses, and implementing error-checking mechanisms for a resilient chatbot application.
- Explore design considerations for a user-friendly customer service experience, focusing on clear communication, context preservation, and effective information delivery.
- Gain insights into extending and customizing your chatbot’s capabilities, laying the groundwork for integrating additional data sources or advanced features.
- Develop a strong foundation for future AI projects by understanding the interplay between different AI components (LLMs, data processing, UI) in a real-world application.
- PROS:
- Build a Practical, Deployable AI Product: Construct a fully functional chatbot that can solve real-world problems for businesses or personal use, moving beyond theoretical concepts.
- Master In-Demand AI Skills: Acquire expertise in Retrieval Augmented Generation (RAG), Large Language Model (LLM) integration, prompt engineering, and UI developmentβall highly sought-after in today’s AI-driven job market.
- Hands-On Learning with Modern Tools: Work directly with Python, DeepSeek’s powerful API, and Gradio, ensuring your skills are current and applicable to contemporary AI development workflows.
- Create a Strong Portfolio Piece: Develop a tangible project demonstrating your ability to design, build, and deploy an intelligent agent, making you stand out to potential employers or clients.
- Understand the Full AI Pipeline: Gain a holistic perspective on building AI applications, from data ingestion and processing to model interaction and user interface design.
- CONS:
- Reliance on External APIs and Potential Costs: The project’s functionality is dependent on DeepSeek’s API, which may involve usage costs and rate limits for significant or production-scale deployment.
English
language