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Answer ANY Question About PDFs! ChatGPT-Powered Chatbot Tutorial Chat With your PDFs Spring AI

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Description

In this comprehensive YouTube tutorial, you'll master building a powerful AI system that:


Extracts data and text from ANY PDF document using the Spring AI module and ETL (Extract, Transform, Load) processes.

Transforms the extracted information for seamless integration with various chatbot frameworks.

Empowers your chatbot with advanced Q&A capabilities using cutting-edge AI models like ChatGPT, OpenAI's LaMDA (Language Model for Dialogue Applications), Jurassic-1 Jumbo's LLama LaMDA 3, and Google AI's Bedrock.

Stores key information as embeddings in a vector database for efficient retrieval and analysis by your chatbot.

By the end of this video, you'll be able to:


Develop a robust Spring AI application to handle PDF data extraction.

Design a chatbot that interacts with users and answers their questions about the processed documents.

Integrate industry-leading AI models to provide informative and insightful responses.

Utilize vector databases to optimize information storage and retrieval for your chatbot.

This tutorial is perfect for developers and AI enthusiasts who want to:


Automate document processing and analysis tasks.

Build intelligent chatbots that can answer complex questions.

Leverage the power of AI to unlock valuable insights from PDFs.

Get ready to:


Dive into Spring AI and its capabilities for PDF data extraction.

Explore ETL processes for efficient data transformation.

Unleash the potential of ChatGPT, LaMDA, LLama LaMDA 3, and Bedrock in your chatbot.

Implement vector databases for optimized information storage.

Don't miss out on this opportunity to empower your AI projects with powerful PDF processing and insightful chatbot interactions!



#SpringAI #ETL #PDFprocessing #ChatbotDevelopment #ChatGPT #LaMDA #LLamaLaMDA3 #Bedrock #AI #MachineLearning #NLP #VectorDatabase #QA #DocumentAnalysis #NaturalLanguageProcessing #ArtificialIntelligence #DeepLearning #ChatInterface #ConversationalAI #DialogueSystems #InformationRetrieval #QuestionAnswering #FAQsystem #VirtualAssistant #KnowledgeBase #CustomerServiceChatbot #EnterpriseChatbot #Automation #Productivity #Springboot #ApacheSpark #MachineLearningLibraries #TensorFlow #PyTorch #Python #DeveloperTutorial #beginnerguide #codewithbisky

Meet your instructor

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Bisky Mursuid

Meet Marshall (Bisky): Senior Software Engineer in Java

With over 5 years of professional experience, I am Marshall, also known as Bisky, a seasoned Senior Software Engineer specialising in Java. My expertise spans a diverse spectrum, ranging from comprehensive System Analysis to intricate Software Development. My professional journey has been anchored in the dynamic and fast-paced landscape of the financial technology industry.
Why Choose My Courses?
I bring a demonstrated history of successfully navigating complex challenges through the art of programming. My passion lies in the relentless pursuit of simplifying intricate tasks through innovative coding solutions.Join me on a learning adventure where I share not just technical knowledge, but the practical insights gained from years of hands-on experience in the field.

What Sets Me Apart?

Extensive Experience: With more than half a decade dedicated to the software engineering domain, I've honed my skills through real-world applications and industry challenges.

Research-Driven Approach: I invest a significant amount of time in continuous research, staying at the forefront of advancements in technology. This commitment ensures that my courses reflect the latest trends and best practices.

Practical Problem-Solving: My focus extends beyond theoretical concepts. I am dedicated to empowering students with the ability to apply their knowledge to real-world scenarios, fostering a deeper understanding of the subject matter.

Embark on a learning journey with me and discover how to not just code, but to code effectively and elegantly. Let's demystify the complexities together!

  • Language: English
  • Length: 12min 42s
  • Category:

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