AI Applications Made Easy: Dive into LangChain & GPT
Published 10/2023
Duration: 1h 48m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 842 MB
Genre: eLearning | Language: English
Published 10/2023
Duration: 1h 48m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 842 MB
Genre: eLearning | Language: English
Unlocking the Power of LLMs with LangChain
What you'll learn
Master Industry-Standard Tools and Frameworks: Learn the ins and outs of LangChain and get up to speed with Large Language Models (LLMs) from industry leaders
Unlock the Power of Prompts: Acquire the skills to create, call, and chain prompts effectively, enabling you to develop interactive and dynamic applications tha
Real-World Application: Apply what you've learned by using LLM techniques on personal documents and projects. This practical experience will arm you with the kn
Delve into Advanced Chatbot Development: Develop an in-depth understanding of how to build conversational chatbots using LangChain. Learn to utilize memory func
LangChain Components: Chains, Agents, DocumentLoader, TextSplitter, OutputParser, Memory
Vector Storage/Vector Databases (Pinecone, Chroma)
Basics of Streamlit which is an open-source Python library that makes it easy to create and share beautiful, custom web apps for AI
Requirements
Basic understanding of LLMs and programming experience with Python!
Description
AI Applications Made Easy: Dive into LangChain & GPT
Welcome to a transformative learning journey designed to demystify the art of building powerful AI applications using the LangChain framework and the groundbreaking GPT models by OpenAI.
Course Overview:
In this comprehensive course, participants will:
Embark on an AI Odyssey:
Begin with an insightful introduction to LangChain, uncovering its potential and importance in the realm of advanced AI solutions. Understand why LangChain stands out in the vast AI landscape and how it's shaping the future.
Deconstruct the DNA of LangChain:
Dive deep into the intricate components of LangChain. From the core models that drive its intelligence to the agents that act as its emissaries, understand the mechanisms of prompts, chains, indexes, and the dynamic memory system that allows for seamless learning and recall.
Expand Horizons with External Tools:
Integrate LangChain's prowess with the web framework Streamlit. This module offers a hands-on approach to building interactive web interfaces and showcases how LangChain can harmoniously blend with other software tools, multiplying its capabilities.
Witness AI in Action:
Transition from theory to practice by exploring live examples. Witness the end-to-end process of ideating, designing, and executing real-world applications. Additionally, students will be encouraged to lead projects, fostering a space for innovation and collaborative brainstorming.
By the end of this course, participants will not only possess a robust understanding of LangChain and GPT but also acquire the skills and confidence to design, develop, and deploy impressive AI applications tailored to diverse needs.
Whether you're an AI enthusiast, a budding developer, or a seasoned professional looking to enhance your toolkit, this course promises a blend of theory, practice, and innovation – making AI application development truly easy!
Who this course is for:
Engineers across various domains—software, backend, and full-stack—are interested in learning how to develop Generative AI applications using LangChain.
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