Chat Bot with Spring AI- React - Vaadin - RAG - Llama-Open AI
The video delves into the intersection of generative science and PL engineering by exploring the use of large language models (LLMs) like Spring in AI application development. It showcases leveraging LLMs for creating efficient chatbots, utilizing vectorized knowledge bases, and integrating frontend and backend technologies like React and Spring. Additionally, it discusses setting up databases, handling entity management, and emphasizes the significance of staying updated on AI, software engineering, and DevOps for career growth in the field.
Introduction to Generative Science and PL Engineering
The video provides an introduction to the fundamental concepts of artificial intelligence, generative prompts, and leveraging large language models (LLMs) for application development, focusing on Spring-based applications.
Utilizing Spring for AI Functionality
The section explains the benefits of using the Spring framework for AI applications, including facilitating access to AI technology and enhancing application functionalities.
Three Ways to Utilize LLMs
The video discusses three methods for leveraging LLMs, including using FoT prompt, training LLMs with specific datasets, and creating zero-shot prompts for targeted applications.
Retriever Augmented Generation
The video demonstrates how to develop applications based on retriever augmented generation by converting unstructured data like PDF files into vectorized formats for knowledge base creation.
Vector Store and Knowledge Bases
This section explains creating knowledge bases by vectorizing enterprise data like PDFs for efficient storage and retrieval to enhance user query responses, particularly for chatbot applications.
Enhancing User Query Responses with AI
The video provides insight into utilizing AI technologies like large language models to provide precise responses to user queries based on document similarity and context extraction.
Full-Stack Application Development with Spring and React
This section discusses creating a full-stack application involving backend development with Spring and frontend with React, aiming to build a chatbot to cater to user queries efficiently.
Utilizing Open Source LLMs like Lama
This part of the video covers the introduction to using open-source LLMs such as Lama for AI applications, including setup instructions and interaction with the model for response generation.
And many more...
