Udemy – Master Langchen Build #15 AI Apps-OpenAI, LLAMA2, Huggingface 2023-10 – Downloadly

Project 1: Build a dynamic question answering application with the unique features of Langchain, OpenAI, and Hugging Face Space.

Project 2: Build an engaging conversational bot using Langchain and OpenAI to provide an interactive user experience.

Project 3: To create an artificial intelligence-based program suitable for children, facilitating exploration of related classes of objects and promoting educational development.

Project 4: Create a compelling marketing campaign plan that leverages the persuasive power of a well-crafted sales copy, thereby increasing sales and brand reach.

Project 5: Create a ChatGPT clone with additional summary feature, providing a versatile and valuable chatbot experience.

Project 6: MCQ Quiz Creator App — Create multiple-choice quizzes for your students using Langchain and Pinecone.

Project 7: CSV Data Analysis Great – helps you analyze the data in your CSV file by answering your questions about it.

Project 8: YouTube Scripting Tool – Easily create engaging 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 may be useful to them.

Project 10 – Automated Ticket Classification Tool – Automated Ticket Classification Tool categorizes support tickets based on content to streamline ticket management and response processes.

Project 11 – HR – Resume Screening Assistance – The HR project helps screen resumes using artificial intelligence, optimizing the recruiting process with analytics and intelligent recommendations.

Project 12 – Email Generator using LLAMA 2 – Email Generator is a tool that automatically creates custom emails, saving 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: Easily convert natural language text into structured SQL queries using Text to SQL Query Utility for simple database interaction and data retrieval.

Project 15 – Customer Service Call Summary Alert – Concise notification that highlights the key points and outcomes of a recent customer service call, helping to understand and respond quickly. Course Content:

• Langchen
• LLM
• Chat Model
• request.request
• Indicators
• Chain
• Agent
• Memory

But this is not just a theory-based course. It is a practical experience. You will participate in practical 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 effectively use Langchain, build robust, robust, powerful and scalable LML applications for various purposes. Don’t miss this opportunity to become a model language expert.

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