Code Free App Development with Large Language Model
About This Course
Dive into the world of code-free app development in this 2-day workshop. Master LangChain core concepts, explore prompt templates, chains, and agents, and build apps using Flowise and LangFlow. Create Chat with Document Apps using various document loaders, and build LangChain Agent Apps with integrations like Zapier and Google Search. Learn about retrieval-based response generation, deployment, embedding chatbots on websites, and employing local and cloud-based models. Discover custom tools, OpenAI functions, and building Artificial Intelligence (AI) Persona Chatbots while implementing long-term chat memory. Practical exercises will complement theoretical instruction, equipping participants with the skills to develop, deploy, and optimize LLM applications.
What You'll Learn
• Understand the core concepts and architecture of LangChain for code-free app development.
• Utilize prompt templates, chains, and agents effectively in app building.
• Develop applications using Flowise and LangFlow platforms.
• Create a Chat with Document app, employing various Document loaders.
• Build LangChain Agent Apps, integrating with tools like Zapier and Google Search.
• Implement retrieval-based response generation using using Document Loaders, Text Splitters, Vector Stores, and retrieval Chains.
• Deploy applications and embed chatbots onto websites using embed Application Programming Interface (API).
• Utilize Local and open-source cloud-based models for enhancing app functionality.
• Build Artificial Intelligence Persona chatbots tailored to specific user engagement needs.
• Implement long-term Chat memory functionalities in applications.
Entry Requirements
Proficiency in English & basic understanding of Python.