Description
Master Course LangChain Build #16 AI Apps-OpenAI LLAMA2 HuggingFace. Are you interested in using the power of artificial intelligence to create language-based applications? You will embark on an exciting project-based learning journey by implementing artificial intelligence programs equipped with advanced LLM models such as OpenAI and Hugging Face using Python. With LangChain, you will gain the skills and knowledge to develop innovative LLM solutions for a wide range of problems. Here are some of the projects we will be working on:
- Project 1: Build a dynamic question answering application with unique features of LangChain, OpenAI and Hugging Face Spaces.
- Project 2: Create an engaging conversational bot using LangChain and OpenAI to provide an interactive user experience.
- Project 3: Creating an artificial intelligence-based program suitable for children, facilitating the discovery of related classes of objects and fostering educational growth.
- Project 4: Create a compelling marketing campaign plan that leverages the persuasive potential of a well-crafted sales copy, increasing sales and brand reach.
- Project 5: Create a ChatGPT clone with added summarization feature, providing a versatile and valuable chatbot experience.
- Project 6: MCQ Quiz Creator App – Create multiple choice quizzes for your students seamlessly using LangChain and Pinecone.
- Project 7: CSV Data Analysis Toll – helps you analyze your CSV file by answering your questions about its data.
- Project 8: YouTube Scripting Tool – Effortlessly create compelling YouTube scripts with this user-friendly and efficient scripting tool.
- Project 9 – Chatbot Support for Your Website – Help your visitors/customers find relevant data or blog links that can be useful to them.
- Project 10 – Automatic Ticket Classification Tool – The automatic ticket classification tool categorizes support tickets by content to streamline ticket management and response processes.
- Project 11 – HR – Resume Screening Assistance – HR project using artificial intelligence to help with resume screening, optimizing the hiring process with analytics and smart recommendations
- Project 12 – Email Generator using LLAMA 2- Email Generator is a tool that automatically creates custom emails and saves time and effort in creating personalized messages.
- Project 13 – Invoice extraction robot using LLAMA 2- Invoice extraction robot: a tool equipped with artificial intelligence that extracts key details from invoices accurately and efficiently. Simplify your data entry process.
- Project 14 – Text to SQL Query Utility: Effortlessly transform natural language text into structured SQL queries using the Text to SQL Query Utility for simple database interaction and data retrieval.
- Project 15 – Customer Care Call Summary Alert – Brief notification that highlights key points and outcomes of recent customer service calls, helping to understand and respond quickly.
This course is designed to introduce you to a thorough understanding of LangChain, from the basics and progress to building LLM-based applications. LangChain allows developers to fully utilize large language models such as ChatGPT, pinecone, LLAMA 2 and Huggingface and seamlessly integrate them with external data sources. This integration increases the ability of models to understand and respond to human language. Built with Python, LangChain offers a user-friendly interface designed specifically for beginners, making it accessible to aspiring developers. Move beyond basic techniques like keyword matching or rule-based systems and maximize your reach using long chain. Leverage the power of LLMs and applications using LangChain and combine them with cognitive or information resources and Pine Tree. Using LangChain and Pinecone, unlock tremendous potential and discover new possibilities with applications. Course contents:
- LangChain
- LLMs
- Chat models
- requests
- Indicators
- Chain
- Agents
- Memory
But this is not just a theory-based course. This is a hands-on experience. You will participate in hands-on activities and real-world projects and strengthen your understanding of these concepts and techniques. At the end of the course, you will be equipped with the skills to use Langchain effectively, building robust, robust, powerful and scalable LLM applications for a variety of purposes.
What you will learn in Master LangChain Build #16 AI Apps-OpenAI LLAMA2 HuggingFace course
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Develop AI applications based on Langchain
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Implement programs equipped with LLM
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Learn Langchain from end to end
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Complete project-based approach
Master LangChain Build #16 AI Apps-OpenAI LLAMA2 HuggingFace course is suitable for people who
- Someone who is ready to explore the world of artificial intelligence
Master Course Profile LangChain Build #16 AI Apps-OpenAI LLAMA2 HuggingFace
- Publisher: Udemy
- teacher: Sharath Raju
- Training level: beginner to advanced
- Training duration: 9 hours and 57 minutes
- Number of courses: 123
Headlines of the course on 2/2024
Course Prerequisites Master LangChain Build #16 AI Apps-OpenAI LLAMA2 HuggingFace
- AI Enthusiast
- Basic Python Programming
Master Course Images LangChain Build #16 AI Apps-OpenAI LLAMA2 HuggingFace
Sample video of the course
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